Voice cloning technology uses machine learning to simulate anyone's voice from just a few seconds of audio.

This technology can create lifelike digital replicas of human voices, making real and fake voices indistinguishable.

Voice cloning technology has various applications, including entertainment, accessibility, and education, with services offered by companies like ElevenLabs.

ElevenLabs clones voices of deceased actors, including collaborations with celebrity heirs.

Voice cloning technology can produce remarkable results with just 15-30 seconds of good quality audio.

ElevenLabs' technology has raised copyright concerns, but the company is committed to respecting creators' rights.

The ease of access to voice cloning technology has led to its use in scams, affecting 47% of Indian phone users.

Voice cloning technology has been used to simulate voices of figures like Emmanuel Macron and Elon Musk.

Voice cloning technology is increasingly used in film and audiobook production to create realistic characters.

Voice cloning technology raises ethical challenges and legal implications, including the need for regulation and privacy protection.

OpenAI emphasizes user consent for voice recording and has developed watermark technology to track voice sources.

The company has worked to ensure user privacy and responsibly release speech synthesis technology.

China Media Group uses AI-dubbed technology to enhance global media accessibility.

Voice cloning technology raises concerns about deepfakes and misinformation in global elections.

Respeecher has warned of the potential harm of AI voice clone technology and called for regulation.

The development of voice cloning technology has sparked both excitement and concern, emphasizing the need for responsible use.

Generating high-quality voice clones requires a large dataset, natural language processing, and analysis of distinctive voice features like pitch and speed.

High-quality voice cloning can cost up to $20,000 per minute and may have synchronization errors with video.

Microsoft developed VALL-E, which mimics a person's voice from a 3-second sample and converts text into matching audio clips.

VALL-E creates custom audio clips with the original voice's reading style and tone, considering room acoustics.

ElevenLabs' AI tool clones a voice in 3 seconds, supporting seven languages, including French and Spanish, while maintaining the original tone.

The tool produces natural-sounding audio, understands emotion and reasoning, and is used in education and journalism.

Voicebox, a voice cloning system, was trained on 50,000 hours of speech data and supports six languages with high-quality audio.

OpenVoice V2 accurately replicates a speaker's voice, supports multilingual speech, and offers flexible sound control.

Developing generative AI for voice cloning costs $30,000 to $500,000 and requires high-quality, diverse training data.

Adaptive AI learns and adapts based on feedback, with development costs ranging from $500,000 to several million.

AI voice clone technology can mimic people's voices with high accuracy and is freely available online.

AI-generated voices can replicate actors' voices in films and be misused for scams or deepfake videos.

Regulation of AI voice clones is needed to prevent misuse, as they can be indistinguishable from real voices.

AI voice cloning is easily accessible and can be used for audiobooks and other audio materials.

Neural networks can generate high-quality voice clones for language learning materials at low proficiency levels.

Current voice copying products mainly target English, with creating a plausible scenario being the hardest part of faking audio.

Poor sound quality can mask voice conversion changes, and neural networks can mimic another person's voice.

AI models need three minutes of voice data to clone a voice, preserving its timbre, rhythm, and intonation.

Deepdub's algorithms track facial expressions and lip movements, generating AI voices with variable expressiveness.

AI dubbing is significantly cheaper and faster than traditional methods, reducing processing time to near instant.

Voice cloning technology in language learning can be supported by chat-based AI that evaluates pronunciation, grammatical accuracy, and communication skills.

Mobile apps like SpokenBot and ReadOutLoud use AI speech generation for interactive language learning.

The effectiveness of voice cloning technology can be measured by assessing its impact on language learners' listening comprehension and the technology's own accuracy.

Voice cloning technology can improve listening comprehension for low-proficiency language learners, depending on its quality and instructional use.

To ensure cultural sensitivity, consider regional preferences when designing voice-cloned materials, especially for less common languages or dialects.

Translation and data processing ensure accuracy and cultural sensitivity in target languages and regional formats.

Collaboration with translators and testing ensure cultural nuances and linguistic accuracy are captured.

AI-dubbed technology helps maintain authenticity and cultural nuances in media content for global audiences.

AI voice cloning raises ethical considerations, emphasizing the need for responsible development and use.

Platforms like clonemyvoice.io support any language and dialect for voice cloning, capturing the tone, pitch, and essence of the original sound.

The Indian Deepfaker offers voice-cloning services in 117 languages.

NeuralSpace's VoiceAI offers realistic sounds in various languages, including Arabic, Hindi, and English, with up to 91% accuracy.

Human-in-the-loop AI Dubbing is used to ensure cultural sensitivity and authenticity in multiple languages.

AI voice over generators can produce multilingual voice overs, but quality, tone, pace, and accent adjustments are crucial.

Regular software updates and advanced AI voice over generators make them suitable for e-learning platforms by considering cultural nuances.

Reviewing output for cultural appropriateness and seeking native speaker input ensures accuracy and authenticity.

The development and use of voice cloning technology must be guided by transparency, responsibility, and respect for cultural biases and privacy laws.

Instructors can integrate voice cloning technology into their teaching using tools like clonemyvoice.io, which offers accurate voice feedback in any language and dialect.

Clonemyvoice.io captures the tone, pitch, and essence of the original sound for language instruction.

ElevenLabs has created an AI voice cloning tool that maintains the original tone and accent, useful for developing audio content in target languages.

This technology enhances language comprehension and pronunciation, and creates localized experiences for global audiences.

Instructors can use voice cloning technology to provide personalized feedback and create interactive language learning activities.

Voice cloning technology raises concerns about scams and deepfakes, highlighting the need for regulation.

Voice cloning technology in language instruction raises ethical challenges, including authentic and valid student assessments.

Instructors must evaluate the effectiveness of voice cloning technology on learning outcomes and student engagement.

Integrating voice cloning technology into teaching requires a thoughtful approach to its benefits and drawbacks.

The effective integration of voice cloning technology into language instruction depends on balancing its benefits and risks.

Instructors are trained to integrate voice cloning technology.

Voice cloning technology uses machine learning to simulate anyone's voice from just a few seconds of audio.

Title:

Content: The scary side of artificial intelligence

The pros of AI outweigh the Cons or threats in our day-to-day lives, and there’s no magic pill to protect us from the scary threats of AI.

  • Exclusive

It's a free Content, simply login/signup to unlock

Get in-depth Industry Insights and Analysis through our “Exclusive” content, presented to you by our esteemed panel of writers, for free

By continuing, you agree to the Terms & Conditions and acknowledge our Privacy Policy. This same account can be used across all Economic Times B2B portals.

  • Updated On Oct 3, 2023 at 03:02 PM IST

Artificial intelligence (AI), as we all know, is the simulation of human intelligence leveraging computer systems and machines. AI programs can continuously learn and evolve with experience. In technical terms, AI systems render the output by churning and analyzing the data for correlations and patterns and help make future predictions using these patterns.

Advt
Today AI is being used extensively in all facets of our lives starting from lifestyle, e-commerce, home appliances, automobiles, navigation, transport, healthcare, agriculture, education, financial planning, chatbots, marketing, cyber security, virtual assistant, industrial automation and many more.

Clearly, we have and are leveraging the strengths of AI to the fullest to automate the routine tasks and make it auto-learn over a period. There’s no doubt that AI has revolutionized the lives of all – organizations, consumers etc. But as they say, “Everything comes at a price”. This analogy is quite true for AI as well, there have been a lot of threats that have emerged using AI and are being utilized by the Cyber criminals to dupe the ignorant users, cause mental stress and extort money.

continued below

Executive Workshop

I’m not going to delve into all of threats but would like to elucidate some of the real ones that have come to the surface recently:

Voice cloning or mimicry

As the name suggests, it uses machine learning algorithms to simulate anyone’s voice. It requires certain voice data to analyze and learn the specific patterns of any individual. There are certain advantages of cloning a voice that can be used in voice assistants, chatbots, navigation systems and other areas. Voice cloning has existed for a while but was restricted to experts who possess the technical knowledge to be able to use the same. But now AI Voice cloning tools are available on the open Internet that anyone can leverage with literally no technical knowledge or cost to clone anyone’s voice. All you need to do is just Google and it will pop up and get a bunch of both free and paid AI Voice cloning tools.

Advt
In fact, recently one of the global leaders in online protection published a report stating how AI is fueling a rise in online voice scams, with just three seconds of audio required to clone a person’s voice. This is extremely creepy. Just imagine, if a Cyber-criminal clones your voice and tricks your near ones by making them believe that they are talking to you, and request for money due to any distress reasons. In fact, these are not assumptions but real-life incidents that are happening across the world every minute.

Deepfakes AI

Deepfakes AI are being used to impersonate an individual by manipulating videos, images, audios, and other content available on the social media platforms using deep learning techniques. It mainly transforms existing content from one person to another. This is another area that has been exploited by the Cyber criminals in the recent past, and there are a few deepfake cases that have made waves on the Internet. One of the most famous ones being Deepfake created by a VFX artist of one of Hollywood’s most famous male actors. This piece was so well made by rendering thousands of pictures using artificial versions of the actor. There are similar Deepfakes incidents involving other global celebrities and leaders. The damage and misuse of the deepfakes videos could be extremely dangerous for the human society and can be used by terrorists to incite riots and create nuisance.

Creating virtual people

This is another area where AI is being used to create people that do not exist. There are a lot of websites that allow you to generate a random image by just specifying the age group, gender & ethnicity, and you can continue to refresh these images at the click of a button. Be mindful of the fact that these images pertain to people that do not exist in this world. On the similar lines, there’s an emerging trend of AI news anchors that possess a human-like appearance and are fed data that they can read using text-to-speech technology. Recently, there's been a surge of AI-Driven robotic new anchors in multiple language channels. While the main objective of this initiative is to provide royalty free or cost-effective human images for branding and other purposes. However, the overuse of these technologies causes Fear of missing out (FOMO), Feeling of inadequacy, dissatisfaction, and isolation may potentially lead to psychological and emotional vulnerabilities.

One of the Hollywood movies, ‘HER’ portrayed an introverted and lonely writer (Joaquin Phoenix) who purchases an AI virtual assistant personified through a female voice to assist him in his writing job. However, when he finds out about its ability to learn and adapt, he falls in love with it. The film delves into emotional vulnerability and the impact of AI on human relationships.

Needless to say, that the pros of AI outweigh the Cons or threats in our day-to-day lives, and there’s no magic pill to protect us from the scary threats of AI. However, there are certain preventive tips that one can follow to mitigate any such risks. Do spread awareness with your family and friends:

  • Set some code words with family, and friends to verify the identity during emergency circumstances
  • Optimize social media presence by limiting your connections with only known contacts and avoid connecting with any unknown ones
  • Avoid saying ‘Yes’ as a greeting while receiving unknown calls as it can be used to authorize credit card charges or other purposes
  • Continuously update privacy settings on social media to allow viewing by friends and family only
  • Avoid clicking on any suspicious links or calls received without proper due diligence
  • Do not share your passwords and other sensitive information with anyone
  • Verify the credentials of any online information before circulating it through various mediums
  • Avoid public Wi-Fi connections offered at coffee shops or airports, which requires to enter password
  • Closely monitor the time spent by younger generation on social media and online gaming
  • Finally, in case of any suspicion, double check and report it to the host site or concerned authorities
The author is the CIO of MOVIN

Disclaimer: The views expressed are solely of the author and ETCIO does not necessarily subscribe to it. ETCIO shall not be responsible for any damage caused to any person/organization directly or indirectly.

  • Published On Oct 3, 2023 at 03:02 PM IST

Most Read in Artificial Intelligence

Join the community of 2M+ industry professionals

Subscribe to our newsletter to get latest insights & analysis.

Download ETCIO App

  • Get Realtime updates
  • Save your favourite articles

What is necessary for voice cloning to work?

This technology can create lifelike digital replicas of human voices, making real and fake voices indistinguishable.

Title:

Content: Advertisment

China Media Group Debuts AI-dubbed English Documentary, Pioneering Global Communication

China Media Group launches its first AI-dubbed English documentary, enhancing global reach and fostering international understanding through advanced AI technology.

Aqsa Younas Rana
Updated On
New Update

In a groundbreaking move, China Media Group has launched its first AI-dubbed English documentary, marking a significant milestone in the use of artificial intelligence for global media outreach. This innovative approach to dubbing not only showcases the advancements in AI technology but also underscores China's ambitions to foster better international communication and understanding. Through this initiative, the documentary, originally produced in Mandarin, has been made accessible to a broader English-speaking audience, enhancing its global reach and impact.

Advertisment

Revolutionizing Content Accessibility

The application of AI in dubbing the documentary into English reflects a growing trend in leveraging technology to bridge language barriers. Similar to the educational advancements discussed in 'Voice Cloning in Education: Bridging Language Gaps in Learning Environments,' this initiative by China Media Group capitalizes on the potential of AI voice cloning technology. By generating lifelike digital replicas of human voices, the documentary's AI-dubbed version maintains the authenticity of the original narration while making it understandable for English-speaking viewers. This technological leap not only improves accessibility but also ensures the delivery of content with emotional depth and cultural nuances intact.

The launch of this AI-dubbed documentary serves as a testament to China's commitment to enhancing global dialogue and cultural exchange. By removing language barriers, China Media Group is effectively broadening the documentary's audience, enabling people from different parts of the world to gain insights into Chinese culture, history, and perspectives. This initiative aligns with the broader objective of promoting mutual understanding and respect among diverse global communities, paving the way for more inclusive and informed international discourse.

Advertisment

Setting New Standards in Media Production

China Media Group's pioneering use of AI technology in documentary dubbing sets new standards for media production and distribution. It illustrates the potential of AI to transform traditional media practices, making content more accessible and engaging for global audiences. As AI technology continues to evolve, it is likely to open up further possibilities for creating multilingual content, thereby enhancing the reach and impact of media across borders. This development also raises important considerations regarding the ethical use of voice cloning technology, underscoring the need for guidelines that ensure its responsible application in media and beyond.

As we reflect on the implications of this technological advancement, it becomes clear that AI-dubbed media content holds significant promise for fostering international understanding and cooperation. By making diverse cultural and educational materials available in multiple languages, we can build a more connected and informed world. The initiative by China Media Group not only highlights the practical applications of AI in media but also invites us to contemplate the future of global communication in an increasingly digital age.

Advertisment
Advertisment

What are some risks regarding AI voice clning?

What has the US Federal Trade Commission warned about the use of voice cloning tools?

Difficult to distinguish from human voice

Voice cloning technology has various applications, including entertainment, accessibility, and education, with services offered by companies like ElevenLabs.

Title:

Content: Sunday 07 July 2024
Chairman of the Board of Directors and Editors
Abdurrahim Ali
Editor-in-Chief
Dalia Abdul Rahim
Chairman of the Board of Directors and Editorial Board
Abdurrahim Ali
Editor-in-Chief
Dalia Abdul Rahim
Gate Light
Artificial intelligence tool narrates audiobooks with the voices of deceased actors
Follow the latest news through the app
Fans of classic films are now able to revive the voices of their late stars thanks to a new and controversial technology.
The British company Eleven Labs, launched by two Polish entrepreneurs, announced the development of an artificial intelligence tool capable of cloning the voices of late movie stars to be used to record audiobooks, articles and electronic documents.
Scary technique.
The new technique is based on the use of "generative" artificial intelligence models that are trained using real voice recordings of actors.
These models are able to analyze the acoustic patterns and recognize the subtleties that characterize the sounds of these stars, and then use this data to produce new recordings that are accurate and realistic.
Reviving the voice of Judy Garland
Judy Garland, best known for her timeless performance of "Somewhere Over the Rainbow" in the 1939 film The Wizard of Oz, was one of the first names to use the technique to revive her voice.
Lisa Minnelli, daughter of Judy Garland, expressed her delight at the move, noting that “it ’ s exciting to see our mother ’ s voice available to countless millions of people who love her. ”
Collaborating with celebrity heirs
The British company not only limited itself to Judy Garland, but also reached deals with the heirs of Sir Laurence Olivier, James Dean, and Burt Reynolds.
These deals allow fans of these stars to listen to audiobooks, novels and articles recorded with their voices.
Controversy and fears
Besides the enthusiasm aroused by this technique, there are also many concerns.
Last year, Hollywood saw a 118-day strike by actors who feared movie studios would replace them with technology.
These concerns are not unfounded, as the technology clearly demonstrates the ability of artificial intelligence to imitate human voices with astonishing realism.
Other uses of artificial intelligence in music
The initiative is part of a wider wave of artificial intelligence in the music and entertainment industry.
For example, Paul McCartney and film director Peter Jackson used an AI tool to isolate John Lennon's voice from an old recording, allowing them to finish "The Beatles' Last Song."
The live performances also saw the use of holographic technology to revive the performances of Michael Jackson and rapper Tupac.
Continuous development
Eleven Labs, founded by Matty Staniszowski and former Google engineer Piotr Dabkowski, has been a huge success and has raised millions of pounds, raising its value to more than $1 billion (£783 million).
The company also offers a wide range of other synthetic sounds, such as “middle-aged American male ” and“ optimistic millennials. ”
A controversial future.
As for the future of this technology, the question remains: will it still be a way to revive the legacy of late artists or will it spark further debate about the impact of technology on art and creativity?
It seems that artificial intelligence will continue to advance, which will allow us to rethink the concept of originality and creativity in the digital age.

What company created an AI tool that could mimic the voices of deceased movie stars?

ElevenLabs clones voices of deceased actors, including collaborations with celebrity heirs.

What company created an AI tool that could mimic the voices of deceased movie stars?

Voice cloning technology can produce remarkable results with just 15-30 seconds of good quality audio.

Title:

Content: AI Voice Cloning: The Future of Entertainment and Counterfeiting
To copy the voice of one of the characters, it is enough to collect a few minutes of his speech, without any external interference.
The software then creates a model of his voice, allowing it to be used in new content, even in foreign languages.
(Getty)
A French videographer uses Deep Vike to simulate the voices of current and late politicians who are engaged in live dialogue with users on Twitch, including French President Emmanuel Macron and two of his famous predecessors, Charles de Gaulle and Jacques Chirac.
Anis Ayari, an AI engineer and owner of a scientific simplification YouTube channel called Defend Intelligence, was behind his “deep fakes ” as satirical content.
But the experience took on negative dimensions on Tuesday, when a netizen asked an alleged Macron what the worst name was for a French village, and artificial intelligence answered “La Mort-aux-Juifs ” (French for“ Death to Jews ”), a small village in the Lauret region of central France that was renamed in 2015.
This led to the immediate blocking of the canal.
The channel ’ s owner wrote in a message on the platform X (formerly Twitter) that he had filed an appeal against the decision and relaunched the live streaming sessions on the rival platform Kick.com.
Months ago, this expert, who promotes virtual “assistants ” to companies, also used deep fakes to get the French president to sing his voice a song by famous singer Charles Aznavour.
He revealed in a video the techniques he adopted in this video trick.
Finally, Ayari began to clone historical or other current figures such as Elon Musk, engaging them in “discussions ” with current political players.
Anis Ayari says, “We will simulate a political debate and we will see where we get on this. ”
To copy the voice of one of the characters, it is enough to collect a few minutes of his speech, without any external interference.
The software then creates a model of his voice, allowing it to be used in new content, even in foreign languages.
“If we have 15 to 30 seconds of good quality, we start to get remarkable results.
There is no longer any need for knowledge in computer programming. ”
Ayari launched an appeal to fund the live broadcast of his version of the French president.
Ayari asserts that using different information services costs him about 150 euros per day.
Tradition, however, has its limits, as the movement of the lips shows some loopholes.
Faced with absurd questions from some netizens, Emmanuel Macron in the fake version gives strange answers, for example, “The pension system is out of my programming.
Let ’ s talk about more fun topics. ”
As the French president says in the AI-developed version, “My statement about my assets has the same credibility as the promises of a politician in his election campaign. ”
“There was a boom in vote generation last year, and it ’ s accelerating. ”
Several projects are currently underway that allow non-professionals to practice deep fakes in China, South Korea and Japan, where mimicking the sounds of manga characters is popular.
On Twitch ’ s “Trump or Biden 2024, ” two AI-developed versions of current US President Joe Biden and his predecessor, Donald Trump, engaged in a long summer exchange that continues under the watchful eye of hundreds of netizens who can launch topics for discussion in writing.
Musicians have also paid a price for these technologies, as their voices have been reproduced in works of art without charge.
Actors, for their part, are concerned about the use of their images from studios, and the cybersecurity community is seeing a rise in phone-based phishing techniques.
But should we fear a new wave of disinformation using these techniques?
Anis al-Ayari answers, “The more people realize [the spread of deep fakes], the more critical they feel. ”
He says through his channels that the content he publishes is “satirical. ”

What is necessary for voice cloning to work?

ElevenLabs' technology has raised copyright concerns, but the company is committed to respecting creators' rights.

Title:

Content: Language No Barrier: New AI tool can clone voice and make it say anything in multiple languages

Imagine former US President Donald Trump speaking in flawless Hindi. A new AI voice cloning tool by ElevenLabs can clone voices and make them say anything in a bunch of different languages. All it needs is a three-second sample clip and a bit of text as the prompt.

Mehul Reuben Das May 03, 2023 13:42:20 IST

Imagine former US President Donald Trump speaking in flawless Hindi. A new AI voice cloning tool by ElevenLabs can clone voices and make them say anything in a bunch of different languages. All it needs is a three-second sample clip and a bit of text as the prompt.

As advanced as AI-based voice cloning has been, there were a few limitations to it. For example, voice generators were mainly bound by the language of the source they were trained in or rather the language of the prompt that was given to them. Now, ElevenLabs, an American AI software developing company has come up with a tool that does away with that limitation.

ElevenLabs’ new AI tool can clone the voice of a person and make it say anything in a bunch of different languages. All it needs is a clear voice sample of about 3 seconds, although it also suggests that the longer the sample, the better will be the results. The new tool even manages to maintain the speaker’s original tone of voice.

Limitless possibilities
The creators expect that this would ‘extend the possibilities’ in a variety of industries such as publishing, gaming creation, and media. “Introducing Eleven Multilingual v1: Our New Speech Synthesis Model! We’re thrilled to launch our new model supporting seven new languages: French, German, Hindi, Italian, Polish, Portuguese, and Spanish.”

“This advancement expands the horizons for creators, game developers, and publishers, and it paves the way for using generative media to create more localized, accessible, and imaginative content,” the company said.

Following the announcement, Twitter was flooded with comments, with users testing the software on various famous faces.

To demonstrate just how capable the new voice cloning AI tool is, Eluna AI, a platform for AI-content creators experimented with a sample clip of former US President Donald Trump.

In their demo, Eluna AI showcased a small clip of Donald Trump, speaking in his native tongue, English, followed by French, Spanish, German, Hindi and Italian, almost perfectly. The generated samples even gets the accent right, almost if he was a native speaker of the new target language.

Another user changed David Attenborough’s voice to German while the BBC broadcaster discussed the prospects of AI. “With this tool, anyone can do it,” stated the Twitter user. “It’s also worth noting that fraudsters will undoubtedly exploit this one.”

ElevenLabs says that its model was designed to understand the emotion and reasoning underlying words in order to produce natural-sounding and persuasive audio. ElevenLabs has said that some numerals and symbols are currently spoken wrongly, but that it is striving to rectify this.

Who is this new tool meant to help?
The US-based company believes its technology will be valuable in a variety of areas, including education and journalism.

Game developers and publishers can build engaging, localised experiences for worldwide audiences, breaking through language barriers and connecting with players and listeners to maximise engagement and efficiency while maintaining quality and accuracy.

“Educational institutions now have the ability to develop audio content for varied users in their target languages, enhancing language comprehension and even pronunciation abilities, as well as responding to different teaching methods and learning demands,” says the report.

Because of the model’s capacity to produce unique character-like voices, audiobook and content developers may also find it beneficial.

The conundrum of AI voice genertors
Despite its benefits, ElevenLabs’ launch comes amid widespread concern about the wave of new voice cloning technology. An unidentified TikTok user went popular last month after sharing an AI-generated Drake song starring The Weeknd.

It sparked concerns about the grey area of AI-created music and whether it constitutes a copyright violation. Nonetheless, ElevenLabs claims to be ‘fully committed’ to respecting creators’ rights in the midst of technological advancements.

“At Eleven, we think that we should seek to make the best use of emerging technology, but not at any expense,” it stated.

“As we create them, we make every effort to put suitable controls in place that reduce the possibility of detrimental abuse. With this in mind, we are entirely committed to both protecting intellectual property rights and taking action against infringement.”

Read all the Latest NewsTrending NewsCricket NewsBollywood News,
India News and Entertainment News here. Follow us on FacebookTwitter and Instagram.

Updated Date:

also read

World

Music labels are worried because of AI, thanks to a surprising new song ft. Drake X The Weeknd

Someone used AI to create a whole new song featuring Drake and The Weeknd. But because the singers never sang the song, artists and music labels are worried, how AI voice modulation and AI-generated songs can disrupt the industry.

World

Artificial Imposter: 47% of Indian phone users have experienced AI voice scams, highest in the world

About half of Indian adults, or 47%, have experienced AI voice scams, nearly double the global average of 25%. Furthermore, nearly 69% of adults say they can't differentiate between a real and an AI-generated voice.

The ease of access to voice cloning technology has led to its use in scams, affecting 47% of Indian phone users.

Voice cloning technology has been used to simulate voices of figures like Emmanuel Macron and Elon Musk.

Voice cloning technology is increasingly used in film and audiobook production to create realistic characters.

Title:

Content: AI clones child’s voice in fake kidnapping scam

‘I never doubted for one second it was her,’ mother says

Anthony Cuthbertson
Thursday 13 April 2023 12:34
Comments

A mother has said she was “100 per cent” convinced by an AI voice clone of her daughter that scammers used in a faked kidnapping attempt.

Jennifer DeStefano from Arizona picked up a call from an unknown number and heard what she believed to be her 15-year-old daughter Brie “sobbing”.

The voice on the other end of the line said, “mom, I messed up”, before a male voice took over and made threatening demands.

“This man gets on the phone, and he’s like, ‘listen here, I’ve got your daughter’,” Ms DeStafano told local news show WKYT.

The apparent kidnapper told the mother: “You call the police, you call anybody, I’m going to pop her so full of drugs, I’m going to have my way with her, and I’m going to drop her off in Mexico.”

In the background, Ms DeStefano said she could hear her daughter saying “help me, mom, please help me” and crying.

“It was 100 per cent her voice,” Ms DeStefano said.

“It was never a question of who is this? It was completely her voice, it was her inflection, it was the way she would have cried – I never doubted for one second it was her. That was the freaky part that really got me to my core.”

The apparent kidnapper demanded $1 million for the daughter to be released, before lowering the figure to $50,000. Ms DeStefano only realised that her daughter was safe after a friend called her husband and confirmed that she was safe.

The scammer, who police are still investigating, appears to have used artificial intelligence voice clone technology, which has become increasingly competent in recent years at mimicking people’s voices.

It is also relatively easy to access and use, with AI tools freely available on the internet.

AI-generated voices have already been used in films to replicate actors like James Earl Jones who voiced the original Darth Vader character in the Star Wars franchise.

It has also been touted as a way for authors to produce audiobooks without spending hours in a studio reading their work.

The technology has also raised fears that it could be misused by scammers or people attempting to create deepfake videos, with one voice clone startup warning that it could be “harmful in the wrong hands”.

In a press release last year, the firm Respeecher said: “The widespread attention and adoption of deepfake technologies will accelerate the need to regulate the use of the technology.”

Thank you for registering

Please refresh the page or navigate to another page on the site to be automatically logged inPlease refresh your browser to be logged in

Eleven Labs is extending its voice cloning services for which industries?

Voice cloning technology raises ethical challenges and legal implications, including the need for regulation and privacy protection.

OpenAI emphasizes user consent for voice recording and has developed watermark technology to track voice sources.

Title:

Content: Alert
Baolin tea room poisoning case + 1! 13-year-old girl had eaten cake cake 30 cases of the latest situation exposed
A drone was launched to take pictures of Ejima Island in Kinmen! The Ministry of Finance has spoken.
New evidence of Po Lin tea room poisoning case?
Wang Pi Sheng reveals that he went to the "substitute chef's house" for inspection this day.
Open AI Launches Speech Synthesis in 15 Seconds, Threatening Society Still Undisclosed
OpenAI has launched a speech synthesis function that can copy a human voice in just 15 seconds, but it has not yet been publicly released! OpenAI has recently developed a new artificial intelligence technology, claiming that users can quickly copy an AI voice by uploading the voice to an app.
However, the application of this technology can become a tool for fraud, spreading misinformation, and even influencing the outcome of global elections.
AI Voice Technology Undisclosed
The Guardian reported that OpenAI has developed an artificial intelligence program for speech synthesis, which requires only 15 seconds of recording to generate a reliable sound.
However, for the sake of stricter censorship, it is still not possible to publish it publicly and to prevent it from spreading misinformation about elections around the world.
In 2022, OpenAI developed ChatGPT as a text-to-speech AI tool, but only a portion of its powerful features were made public to avoid harm to society.
Today, speech synthesis technology has entered the application stage, and OpenAI will be released to the public more carefully in the future.
OpenAI said in a blog post that they want to take responsibility for speech synthesis technology and start a dialogue about how society can adapt to new AI capabilities, and that based on the results of the survey, they will also make more informed decisions about the technology.
Protection of user information and privacy
According to Al Jazeera, OpenAI emphasizes that the application of the speech synthesis technology can only ensure that users knowingly record their own voice in the program and prevent others from creating sounds similar to those of well-known people.
In addition, OpenAI is also working with partners from the government and the private sector, looking forward to receiving feedback from them in the process of creating new technologies.
In addition, the AI program has implemented a number of security measures, including adding watermarks to track voice sources and proactively monitoring how it is used to protect users ’ privacy.
[More details, see here.
ChatGPT OpenAI User Voice Security Privacy
Extended reading
ChatGPT is more free to use without registration
The growing importance of AI security, the United Kingdom and the United States announce a joint venture to develop models
OpenAI opens up ChatGPT to log in without registration
Lenovo Sprint AI CEO Yang Yuanqing: Epic opportunity...
To whom do you give me?
Related News
Bloomberg: US restrictions on land chip exports "reach out to other countries" Seoul is still considering
The United States has asked South Korea to impose restrictions similar to those already in place in the United States on chip technology exports to China.
The United States hopes to reach the G7 summit in mid-June.
Open AI Launches Speech Synthesis in 15 Seconds, Threatening Society Still Undisclosed
OpenAI has launched a speech synthesis function that can copy human voices in just 15 seconds, but it has not yet been publicly released! OpenAI recently developed a new artificial intelligence technology, claiming that users upload voice applications …
West Texas crude oil futures exceed $85 for the first time since October last year
The price of U.S. crude oil futures broke through $85 a barrel on the 2nd, the first since October last year, as the Organization of Petroleum Exporting Countries and partners (OPEC +) cut production, allowing a stable and stronger oil market.
The public eating soya noodle may mean an economic warning
If the world ’ s annual sale of soba noodles can be stretched into a giant noodle, 6.2 billion kilometers long, stretching from Earth to Pluto, and even deep into outer space, this amazing fact may also have a sad side.
The “New American Century ” is based on the stock market.
The global dominance of the US stock market is increasingly evident.
About 70% of the companies that make up the MSCI World Index are U.S. companies, and eight of the top 10 companies in all constituent stocks are U.S. technology companies.
In addition, the S & P 500 index, the benchmark for US stocks, has already broken the 5,000 point integer mark.
The power of the rich is under siege … “Korean discount ” is difficult to solve
South Korean President Yoon Seok-yuk is determined to solve the so-called "Korean discount" phenomenon of South Korean shares, but the recent measures to improve corporate governance issued by South Korean financial regulators are like "mouth water", investors around the world have observed that the key obstacle to South Korea's reversal of the old system is the influence of the financial sector, reflecting that South Korea's push for corporate reform is still a long way.
Product recommendation
udn Forum

The company has worked to ensure user privacy and responsibly release speech synthesis technology.

China Media Group uses AI-dubbed technology to enhance global media accessibility.

Voice cloning technology raises concerns about deepfakes and misinformation in global elections.

What are some risks regarding AI voice clning?

Respeecher has warned of the potential harm of AI voice clone technology and called for regulation.

What are some risks regarding AI voice clning?

The development of voice cloning technology has sparked both excitement and concern, emphasizing the need for responsible use.

Title:

Content: OpenAI, the creators of ChatGPT, provided a glimpse into their latest artificial intelligence (AI) innovation on Friday—a tool known as Voice Engine, capable of generating “natural-sounding speech” and mimicking human voices with remarkable accuracy. According to OpenAI’s blog post, Voice Engine can produce lifelike speech from just a single 15-second audio sample, closely resembling the original speaker.

This cutting-edge AI tool has far-reaching applications, including reading assistance, content translation, and providing a voice for individuals who are nonverbal or afflicted by speech conditions. Despite its potential benefits, OpenAI acknowledges the serious risks associated with Voice Engine, particularly in an election year.

Development of Voice Engine began in late 2022, with private testing conducted among a select group of trusted partners starting late last year. OpenAI stresses that these partners adhere to stringent usage policies, ensuring explicit consent from the original speaker and prohibiting unauthorized impersonation.

To maintain transparency, any audio generated by Voice Engine is watermarked to aid in tracing its origin. OpenAI advocates for widespread deployment of voice authentication to verify the original speaker’s consent and suggests implementing a “no-go voice list” to prevent the creation of voices resembling prominent figures.

Moreover, OpenAI recommends phasing out voice-based authentication for sensitive information access, such as bank accounts. Despite these precautions, the company remains cautious about releasing Voice Engine more broadly.

OpenAI aims to foster a dialogue on the responsible deployment of synthetic voices, considering societal adaptation to these advancements. Based on ongoing discussions and test results, the company will make informed decisions regarding the technology’s widespread deployment.

The unveiling of Voice Engine comes amid escalating concerns surrounding AI-generated deepfakes and their potential to propagate misinformation, particularly in the context of elections. As OpenAI navigates the ethical and societal implications of Voice Engine, the tech community awaits further insights into the future of this transformative AI tool.

By Impact Lab

What are some risks regarding AI voice clning?

Generating high-quality voice clones requires a large dataset, natural language processing, and analysis of distinctive voice features like pitch and speed.

Title:

Content: Opinions and Articles
What is deepfake technology and how does it work?
What is deepfake technology and what is its mechanism of action and the limits of its potential that can be used to fake videos, images and sounds?
# Alert your personal opinion as a specialist in the field in the last post:
Deepfake is a very dangerous artificial intelligence technique that is used in the manufacture and counterfeiting of videos, images and sounds, which can show people saying or doing things they never said or did in fact and can reach high accuracy in it with the large size of data used in the training of the quasms that the technology works on.
Let ’ s start with Voice Deepfake, also known as Voice Cloning, is an artificial intelligence technique designed to create quasmids capable of imitating the voice of a real person.
In order to do this, it must be trained on the recordings of the target person and after the completion of the training phase, the algorithm is able to produce a synthetic voice similar to the voice of the target person.
To do this, specialists use natural language processing techniques such as NLP, a machine learning technique that enables computers to interpret, process, and understand human language.
These techniques are used to identify the distinctive voice features of the voice of the target person and there are a large number of voice features that are analyzed, including the feature of pitch and low voice so that there are people characterized by high voice and others by low voice, and is also analyzed speed feature in the nature of the speech of the target person, and also of these features Cadence, which is the way the voice of the target.
Of course, to reach high accuracy, there must be huge data to train Khasmia many recordings of the target person and the easiest way to reach quick results to falsify the voice of a person is to use one of the existing Khasmia online open source and the transfer learning technology on it and train the algorithm on a simple recording can Khasmia trained high precision easily identify the voice features and imitate.
But the problem is that most of the existing algorithms yes are high precision but they have been trained on either recordings in English or classical Arabic and algorithms trained on ZD data for those who enter a section in Sudanese bicycles get what is known as data drifting and this leads me a sharp decline in the accuracy of the results of the algorithm so you will find the product section very clear that it is fake.
Good and solution?
In the case of trying to fake the voice of a person in a Sudanese dialect using the technology of transfer learning will not benefit and will not come satisfactory results so you must train Khasmia from scratch on data using too many clips for the target person and is a very cumbersome process so you find there is a Russian company that offers this service to produce clips in English to fake videos and voice me anyone but at a cost of $20,000 per minute English can cost you $100,000.
The conclusion of the personal opinion that the audio in the video is real, but the video may be an old video was installed audio and adjust the synchronization and movement of the lips using the Deepfake technology in the video I noticed in the movement of the lips of the speaker some errors in the synchronization between what is said and the movement of the lips.
with my regards,
M.M. Mohammed A.M.
Valid
Researcher and Engineer Automated Robotics and Expert Artificial Intelligence Systems
London, United Kingdom
# Cher _ in _ the _ good
A dose of awareness
# شير _ على _ معر _ مع

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

High-quality voice cloning can cost up to $20,000 per minute and may have synchronization errors with video.

Microsoft developed VALL-E, which mimics a person's voice from a 3-second sample and converts text into matching audio clips.

Title:

Content: Chairman of the Board of Directors and Editors
I'm sorry.
Mohamad Elbaz
Editor-in-Chief
Wael Lotfy
Chairman of the Board of Directors and Editors
I'm sorry.
Mohamad Elbaz
Editor-in-Chief
Wael Lotfy
Microsoft has developed a language system that can mimic a person ’ s voice from a sample of just three seconds.
Microsoft has developed an intelligent language system, an AI-powered program that can mimic someone ’ s voice and mimic their voice from a three-second audio sample.
The new system, called VALL-E, converts written texts into audio clips, and speech can match both the speaker ’ s tone of voice and the way of talking — even room acoustics, where it can be used for custom or sophisticated text-to-speech applications.
Not only does the system create audio clips by writing random texts, but it can also take into account the reading style and tone of voice, to show the character of the original voice in the fake audio clips.
The system is still under development and research, but the project offers a high level of accuracy in simulating the factors and sound effects surrounding the speaker in the original clip of only 3 seconds, so that they are highlighted in the manufactured clips closer to the truth.
Samples of audio clips presented by "Microsoft" to reveal the capabilities of its new system, a precise level of the program in creating audio clips as recorded during a phone call, by quoting the style of sound and its level and intensity, from the original clip recorded to the user during his speech in fact.
And proved "Microsoft" through the audio clips published on the page of the new system on "JetHub" that the system can create audio clips in different ways, using the voice of one person.

What is necessary for voice cloning to work?

VALL-E creates custom audio clips with the original voice's reading style and tone, considering room acoustics.

ElevenLabs' AI tool clones a voice in 3 seconds, supporting seven languages, including French and Spanish, while maintaining the original tone.

Eleven Labs created an AI voice cloning tool that can generate speech in how many languages?

The tool produces natural-sounding audio, understands emotion and reasoning, and is used in education and journalism.

Voicebox, a voice cloning system, was trained on 50,000 hours of speech data and supports six languages with high-quality audio.

Title:

Content: Meta announces Voicebox, its generative AI model for audio

Today, Meta has announced its latest generative AI model, following on the back of ImageBind is Voicebox, which is designed to help creators with its ability to perform speech generation tasks such as audio editing, sampling and stylising, even if it wasn't specifically trained to do so through in-context learning.

Meta touts that this new AI model will have benefits to many people around the world, and uses examples such as helping visually impaired people to hear written messages from friends in their voices, as well as allowing people to speak foreign languages in their own voices.

The AI model itself can produce both high-quality audio clips, and edit pre-recorded audio to remove unwanted disruptions such as car horns while preserving the content and style of the audio while being multilingual, producing speech in six languages. Future developments for the model include giving natural-sounding voices to visual assistants, or non-player characters during games in the metaverse.

Meta has also compared Voicebox to other audio AI models out there, specifically naming Vall-E and YourTTS as competitors, demonstrating that Voicebox is more advanced and outperforms both models when comparing Word error rates and Style similarity.

Voicebox has been built on a Flow Matching model, which is Meta's latest non-autoregressive generative model, which can learn highly non-deterministic mapping between text and speech, enabling Voicebox to learn from varied speech data without it having to be carefully labelled allowing the data to be more diverse and on a larger scale.

Voicebox has been trained on more than 50,000 hours of recorded speech and transcripts from public domain audiobooks in English, French, Spanish, German, Polish, and Portuguese so far, and it can also predict a speech segment when given the surrounding speech and the transcript of the segment.

Lastly, Meta goes on to comment that while the technology can bring in a new era of generative AI for speech, it could bring the potential for misuse and unintended harm.

In the research paper that Meta will be sharing about Voicebox, it will include detail on how it has built a highly effective classifier which can differentiate between authentic speech and Voicebox-generated speech.

Meta will not be making the AI program itself available for public use, nor will it be releasing the source code.

Report a problem with article
Next Article

Nvidia RTX 4090 16-pin 12VHPWR connectors still burning: First case of PSU-side melting

Previous Article

Xbox Game Studios head insists cloud gaming is still "a very, very small market"

OpenVoice V2 accurately replicates a speaker's voice, supports multilingual speech, and offers flexible sound control.

Title:

Content: Home > Industry > Keyword > Robotics News > Text
AI Daily: The domestic robot Astribot S1 is coming; Synthesia pushes digital people who can read text emotions; OpenVoice V2 version is released; DeepFacelive lets you change faces in real time during live streaming
2024-04-26 15: 19 · Source: Webmaster 's House
Welcome to the "AI Daily" column! Here is your guide to exploring the world of artificial intelligence every day. Every day, we show you the hot content in the AI field, focus on developers, and help you understand the technology trends and understand the application of innovative AI products.
Fresh AI products click https: / / top.aibase.com /
Synthesia launches a new digital person Expressive-1 official version to understand the emotions in your text
Synthesia introduced Expressive-1AI Avatars, an AI virtual image technology that automatically displays rich expressions based on text content.
The technology improves video expressiveness and attractiveness, with enhanced expressiveness, synchronization of emotional responses, and mimicking human microexpressions and body language.
【 AiBase Summary: 】
• Enhanced expressiveness: Expressive-1 automatically displays adaptive intonation, facial expressions, and body language based on text semantic changes to express emotions more naturally.
Synchronization of emotional responses: Virtual images can accurately display expressions and intonations that match emotional states, improving the accuracy of emotional expression.
Sound and lip syncing: Each virtual image is equipped with a matching sound and excellent lip syncing technology to ensure consistent voice and lip movements.
Details Link: https: / / top.aibase.com / tool / synthesia
2, the news fly star fire big model V3.5 upgrade to launch long text, long picture text, long speech big model
Xunfei released Xunfei Spark large model V3.5 upgrade, the introduction of multi-emotion superanthropomorphic technology, the introduction of long text, long picture text, long speech large model, and Spark intelligent body platform to provide strong technical support for bidding applications and contract applications.
【 AiBase Summary: 】
University of Science and Technology announced the upgrade of the Star Fire Model V3.5, introducing the multi-emotion superanthropomorphic synthesis technology.
Launched the first long text, long text, long speech model to provide more powerful technical support.
The Spark model excels in general-purpose long text processing, even surpassing the GPT-4Turbo.
Details Link: https: / / top.aibase.com / tool / xunfeixinghuorenzhidamoxing
3, HKUST News Fly: News Fly Star Fire V4.0 version released on June 27
Xunfei released the first large model that supports long text, long text and long voice, providing a series of new functions, including image recognition, contract assistant, intelligent bid evaluation assistant, etc., to achieve more vivid and personalized expression, solve the problem of enterprise landing, and help employees improve their work efficiency.
【 AiBase Summary: 】
The first large model supporting long text, long picture text and long voice, providing more professional and accurate industry scene answers.
Introduced contract assistant and intelligent bid evaluation assistant to improve the efficiency of contract audit and make bid evaluation more convenient, efficient and accurate.
Launched a new intelligent body platform to solve the problem of large model enterprises landing, create exclusive assistants for employees, and help enterprises to liberate productivity.
Details Link: https: / / top.aibase.com / tool / xunfeixinghuorenzhidamoxing
4, the domestic robot will come!
Astribot S1
Astribot S1, a domestic AI robot that subverts the field of housework robots, has core features such as imitation learning, large model blessing, software and hardware collaboration.
Its excellent operational performance, demonstrating multi-tasking capabilities in home and work scenarios, heralding the potential for widespread use of AI robots in future life.
【 AiBase Summary: 】
Imitation Learning: Astribot S1 imitates human behavior and performs complex tasks, demonstrating agility and flexibility in adults.
The big model blessing: access to the big model test, expected to be commercialized in 2024, aims to establish a new AI robot standard.
Hardware and software collaboration: The R & D team made a key breakthrough, enabling the S1 to have a smart “brain ” and an agile“ body ”.
5, the foot of the big man seconds to become cute Lori!
DeepFacelive allows you to change your face in a second in the live broadcast
DeepFacelive is a widely watched tool that can change faces in real time during live and video calls, bringing users a whole new visual experience.
The introduction of this technology improves accuracy and authenticity, adding interesting and innovative space.
【 AiBase Summary ： 】
You can change faces in real time during video calls and live broadcasts, and you can change facial expressions and images in real time.
⊙ Including face animator, can operate static face pictures
Hardware and system requirements: RTX2070 and above graphics card, win10 system, 4GB RAM, 32GB + page file
Project address: https: / / top.aibase.com / tool / deepfacelive
OpenVoice V2 release allows fine control of sound style
OpenVoice V2 is an innovative sound cloning technology that accurately replicates the voice of the reference speaker and generates speech in multiple languages.
This version has better audio quality and native multilingual support, integrates MeloTTS technology and supports free commercial use.
Technical methods include decoupling design of sound styles and languages, basic pronunciator TTS models and timbre converters, and training strategies and data processing.
【 AiBase Summary: 】
Accurate Tone Cloning: OpenVoice can accurately clone reference tones and generate speech in multiple languages.
Flexible sound style control: Users can adjust the mood, accent, rhythm, pause and tone of the sound in detail to achieve personalized sound output.
Efficient compute performance: OpenVoice maintains high performance while significantly reducing compute costs.
Website: https: / / research.myshell.ai / open-voice
Project address: https: / / top.aibase.com / tool / openvoice
Create your own voice bot: https: / / myshell.ai /
Intel's first quarter results were strong
Intel ’ s revenue in the first quarter reached $12.7 billion, up 9% year-on-year, driven mainly by computing, artificial intelligence and edge products.
Intel has launched a new Gaudi3AI accelerator, challenging rivals Nvidia and AMD to make progress in the field of artificial intelligence.
Intel is accelerating the launch of AI PC products, which is expected to exceed 40 million AI PC shipments by the end of 2024.
【 AiBase Summary: 】
Intel ’ s first quarter revenue reached $12.7 billion, up 9% year over year.
Intel launches new Gaudi3AI accelerator, challenging rivals Nvidia and AMD to make progress in artificial intelligence.
Intel is accelerating the launch of AI PC products, which is expected to exceed 40 million AI PC shipments by the end of 2024.
Technology giant engineers pay secret: OpenAI engineers make $900,000 a year
At tech giants, engineers earn millions of dollars a year, of which OpenAI engineers earn up to $900,000 a year.
The salary levels of engineers vary from company to company, but they are all in the millions of dollars. Once promoted to senior positions, engineers can earn millions of dollars a year.
Talents in the field of artificial intelligence are generously rewarded for their knowledge.
【 AiBase Summary: 】
OpenAI engineers earn up to $900,000 a year
  Google, Apple, Facebook, Microsoft and other companies engineer salaries are more than $1 million
⊙  Engineers can earn millions of dollars a year after promotion to senior positions
9, IntrinsicAnything: adjust the image light to keep the object material
This article introduces a method to standardize the optimization process by generating model learning materials to improve the accuracy of restoring object material in pose images taken under unknown static lighting conditions.
Through the model basis of diffuse reflection and specular reflection coloring items, the researchers used the training strategy from coarse to fine to achieve stable and accurate material recovery results.
【 AiBase Summary: 】
✔ Generate model learning materials, standardize the optimization process, improve accuracy
➢ Models based on diffuse and specular coloring items for increased accuracy
Using a rough to fine training strategy to achieve stable and accurate material recovery results
Details Link: https: / / top.aibase.com / tool / intrinsicanything
Align Your Steps: Low Step Reasoning to Maintain High Quality Results
This article introduces a new method called Align Your Steps, which aims to optimize the sampling schedule of diffusion models (DMs) in the field of deep learning and improve the efficiency and quality of the generation process.
Through rigorous quantitative experiments, it is found that the optimization program significantly improves image quality in image generation benchmark, and is applicable to the field of text-to-image and video generation.
【 AiBase Summary: 】
Optimize sampling plan to improve the efficiency and quality of the generated model
Can be used for a variety of data synthesis benchmarks, including images, videos, etc.
Provides user-friendly plug-and-play optimization planning applications to improve stability and quality during the build process
Details Link: https: / / top.aibase.com / tool / align-your-steps
11, the new ID to keep the project PuLID: image background, light, style, etc., all maintain a high degree of consistency
PuLID is an emerging ID retention project that aims to improve ID retention and minimize the impact on the original model.
Its core strengths include high consistency, versatility, high fidelity, stability and accuracy, and a wide range of applications. The release of PuLID will drive innovation and development of the technology, demonstrating unique advantages and value.
Let us look forward to the release of PuLID and witness its brilliant performance in the field of technology.
【 AiBase Summary: 】
High consistency: Before and after the identity information is added, the background, lighting, layout and style of the image are consistent.
Multi-Functionality: Support a variety of operations such as style change, IP fusion, accessory modification, attribute editing and ID mixing to show powerful functions and effects.
✔ High fidelity: By contrast alignment, custom IDs remain high fidelity, providing users with more possibilities and choices.
Details Link: https: / / top.aibase.com / tool / pulid
Physical Education Teacher Using Artificial Intelligence to Clone Headmaster ’ s Voice in Retaliation Arrested
This article reports on the incident in Baltimore County, Maryland, where physical education teacher Damien Darion used an artificial intelligence speech cloning service to frame the principal of Parksville High School.
The incident revealed the risk of AI technology being misused and raised concerns about personal information security and privacy protection.
【 AiBase Summary: 】
Artificial intelligence cloning of the principal ’ s voice: PE teacher Darien was arrested on suspicion of making false recordings.
Risk Warning: Abuse of AI voice cloning technology raises social concerns, and OpenAI restricts public use of its platform.
Privacy Protection: Lawmakers work to enact laws to protect personal information from unauthorized use by tech companies.
Report it.
• Related recommendations
• Everyone is watching
Words everyone is searching for today:

What technology is able to replicate the voice of a speaker in multiple languages?

Developing generative AI for voice cloning costs $30,000 to $500,000 and requires high-quality, diverse training data.

Title:

Content: The Showdown: Generative AI vs Adaptive AI - Which is Right for You?

Artificial Intelligence (AI) is a rapidly evolving field, with two main approaches capturing attention: Generative AI and Adaptive AI. These techniques offer unique capabilities and have the potential to revolutionize various industries.
Artificial Intelligence (AI) is a rapidly evolving field, with two main approaches capturing attention: Generative AI and Adaptive AI.

By Jhon Lunda

Introduction

"Unveiling the Battle: Generative AI vs Adaptive AI"

Artificial Intelligence (AI) is a rapidly evolving field, with two main approaches capturing attention: Generative AI and Adaptive AI. These techniques offer unique capabilities and have the potential to revolutionize various industries.

In this article, we will explore the fundamental principles, methodologies, applications, limitations, ethical considerations, and prospects of Generative AI and Adaptive AI. By gaining a deeper understanding of these approaches, readers will be better equipped to assess their relevance and make informed decisions.

Understanding Generative AI

"The Power of Creation: How Generative AI Works"

Generative AI focuses on the creation of new and original content. It utilizes advanced algorithms, such as deep learning models and recurrent neural networks, to learn patterns from vast datasets and generate outputs resembling human-created content.

From generating artwork to composing music, Generative custom AI development company enables creative expression and pushes the boundaries of what machines can achieve. By comprehending the workings of Generative AI, we can appreciate its potential for innovative applications.

Generative AI: Average Cost to Build

The cost to develop generative AI can range from tens of thousands to several hundred thousand dollars, depending on project complexity and scope.

According to industry statistics, the average cost to build generative AI systems can be estimated as follows:

  • Small-scale projects: $30,000 - $50,000

  • Medium-scale projects: $50,000 - $100,000

  • Large-scale projects: $100,000 - $500,000

According to Forbes, Generative AI Breaks The Data Center: Data Center Infrastructure And Operating Costs Projected To Increase To Over $76 Billion By 2028.

Exploring Adaptive AI

"Adaptability at Its Finest: Understanding Adaptive AI"

Adaptive AI emphasizes the ability of AI systems to learn and adapt based on feedback and changing circumstances. Through techniques like reinforcement learning and evolutionary algorithms, Adaptive AI models improve their performance by continuously acquiring knowledge and adjusting their behavior.

This approach finds applications in dynamic environments where flexibility and responsive decision-making are crucial. By diving into Adaptive AI, we can grasp its adaptive mechanisms and impact on various domains.

Average Cost to Build Adaptive AI: Statistics

The average cost to build adaptive AI can range from $500,000 to several million dollars.

According to industry statistics, the average cost to build adaptive AI systems can be estimated as follows:

  • Small-scale projects: $500,000 - $1,000,000

  • Medium-scale projects: $1,000,000 - $5,000,000

  • Large-scale projects: $5,000,000 and above

According to Gartner: Gartner expects that by 2026, enterprises that have adopted AI engineering practices to build and manage adaptive AI systems will outperform their peers in the number and time it takes to operationalize artificial intillegence models by at least 25%.

Comparing the Approaches: Generative AI vs. Adaptive AI

"Head-to-Head: Generative AI vs Adaptive AI"

Let's compare the key aspects of Generative AI and Adaptive AI in a concise bullet point format:

Generative AI focuses on the creation of new and original content.

Generative AI

  • Focuses on creating new and original content.

  • Utilizes algorithms like deep learning models and recurrent neural networks.

  • Learns patterns from vast datasets to generate human-like output.

  • Thrives in creative domains such as art, music, and writing.

  • Pushes the boundaries of machine-generated creativity.

Adaptive AI

  • Emphasizes learning and adaptability in dynamic environments.

  • Utilizes techniques like reinforcement learning and evolutionary algorithms.

  • Improves performance through continuous learning and adjustment.

  • Excels in tasks that require flexibility and responsive decision-making.

  • Finds applications in optimization, prediction, and personalization.

Factors Influencing Cost

Several key factors influence the cost of developing both generative AI and adaptive AI systems. These factors include:

  1. Data Acquisition and Preparation: The quality and quantity of data needed for training AI models significantly impact the cost. Collecting and curating large datasets can require considerable resources.

  2. Computing Resources and Infrastructure: Training and running AI models demand substantial computing power, often requiring specialized hardware and cloud services. The cost of acquiring and maintaining the necessary infrastructure contributes to the overall expenses.

  3. Expertise and Talent: Skilled AI professionals with expertise in generative AI or adaptive AI are essential for successful development. Hiring and retaining these experts can be a significant investment.

  4. Research and Development: Staying at the forefront of AI technology requires ongoing research and development efforts. Investing in R&D helps organizations remain competitive and ensures continuous improvement of AI systems.

Use Cases and Applications

"Real-World Implications: Where Generative AI and Adaptive AI Excel"

Use Cases and Applications of Generative AI:

Generative AI has found diverse applications across industries, including:

  • Computer-generated art and design

  • Music composition and generation

  • Creative writing and storytelling

  • Virtual and augmented reality experiences

  • Product and logo design

  • Fashion and textile design

  • Video game content generation

  • Content creation for marketing and advertising

Generative AI enables creative professionals and industries to explore new realms of artistic expression and leverage the power of AI to generate unique and compelling content.

Use Cases and Applications of Adaptive AI:

Adaptive AI has demonstrated its value in various domains, including:

  • Personalized recommendations in e-commerce and streaming platforms

  • Dynamic pricing and demand forecasting in retail and hospitality

  • Fraud detection and risk assessment in finance and insurance

  • Autonomous vehicles and intelligent transportation systems

  • Predictive maintenance in manufacturing and logistics

  • Healthcare diagnostics and personalized treatment plans

  • Natural language processing and chatbots for customer service

  • Personalized learning and adaptive education platforms

Limitations and Challenges of Generative AI vs Adaptive AI

"Roadblocks and Hurdles: The Limitations of Generative AI and Adaptive AI"

Evaluation and validation of generated content can be subjective and challenging.

Limitations and Challenges of Generative AI

Limitations of Generative AI:

  • Maintaining consistent quality and coherence in generated content is a challenge.

  • Ensuring genuine creativity and originality in output can be difficult.

  • Generative AI heavily relies on high-quality and diverse training data.

  • Evaluation and validation of generated content can be subjective and challenging.

  • Long training times and resource-intensive computational requirements can limit scalability.

Challenges of Generative AI:

  • Ethical considerations arise regarding ownership and potential misuse of AI-generated content.

  • Limited control over output and interpretability can lead to unpredictable results.

  • Balancing exploration and exploitation in the learning process poses a challenge.

  • Generating high-quality and realistic content is an ongoing challenge for generative AI systems.

  • Addressing biases and ensuring fairness in AI-generated content is a complex task.

Limitations and Challenges of Generative AI

Limitations of Adaptive AI:

  • Dependence on the training data's quality, relevance, and representativeness for effective learning and adaptation.

  • Vulnerability to bias and skewed outcomes if the training data is unbalanced or contains inherent biases.

  • Ethical concerns related to privacy, transparency, and potential reinforcement of societal biases.

  • Complex implementation and tuning processes require careful calibration and monitoring.

  • Balancing the need for adaptability with the need for stability and reliability in critical decision-making scenarios.

Challenges of Adaptive AI:

  • Ensuring continuous learning and adaptation in dynamic and evolving environments.

  • Overcoming the limitations of data availability and quality for effective model updates.

  • Adapting to changing user preferences and behaviors in personalized recommendation systems.

  • Addressing the "cold start" problem when dealing with new or rare instances.

  • Balancing exploration and exploitation to achieve optimal performance in reinforcement learning scenarios.

Big companies are leveraging generative and adaptive AI technologies to gain a competitive edge and deliver exceptional experiences.

Big Companies Using Adaptive AI Technology

Big companies are leveraging generative and adaptive AI technologies to gain a competitive edge and deliver exceptional experiences. Here are notable examples:

  1. Google's DeepMind: DeepMind's language models like GPT-3 generate human-like text, enabling content creation and virtual assistants.

  2. Netflix: Adaptive AI personalizes the user experience, recommending tailored content based on viewing patterns and preferences.

  3. Amazon: Alexa uses generative AI for natural-sounding responses, while adaptive AI powers product recommendations.

  4. Adobe: Adobe Sensei's generative AI features automate design variations and enhance graphics creation.

  5. Facebook: Generative AI generates alternative text for images, while adaptive AI personalizes news feeds.

Big Companies Using Generative AI Technology

Let's explore some notable examples of how these technologies are being utilized by prominent organizations:

  • IBM: IBM's Watson AI platform utilizes generative AI to generate natural language responses, engage in intelligent conversations, and assist in various domains such as healthcare, finance, and customer service.

  • OpenAI: OpenAI's language models like GPT-3 are employed by big companies to generate content, draft emails, provide customer support, and create chatbots.

  • Autodesk: Autodesk's generative design tools use AI algorithms to explore numerous design options and help professionals optimize their designs and generate innovative solutions.

  • NVIDIA: NVIDIA's generative AI solutions, such as generative adversarial networks (GANs), are used in image generation for design, advertising, and virtual environments.

  • Adobe: Adobe incorporates generative AI into its creative software suite, enabling artists, designers, and content creators to enhance images, remove unwanted elements, and automatically generate content.

The Future of AI:

"Beyond the Present: The Evolution of Generative AI and Adaptive AI"

The future of AI holds exciting possibilities as Generative AI and Adaptive AI continue to evolve. The evolution of Generative AI and Adaptive AI shapes the future of AI.

  • Generative AI is advancing to produce highly creative and original content.

  • Adaptive AI focuses on adaptability and responsiveness, enabling personalized experiences.

  • The convergence of Generative AI and Adaptive AI holds immense promise.

  • Hybrid models combining creativity and adaptability will revolutionize industries.

  • Privacy, fairness, and transparency are essential considerations in the future of AI.

  • Ongoing research and collaboration are crucial for addressing ethical challenges.

  • The future of AI promises a transformative world of innovation and possibilities.

Conclusion:

"Choosing Your Path: Which AI Approach is Right for You?"

When considering AI, the choice between Generative AI and Adaptive AI depends on individual requirements and objectives. Generative AI suits those seeking creative exploration, while Adaptive AI suits those valuing adaptability and personalization. As the AI landscape evolves, hybrid models may emerge, providing the best of both worlds. Embrace the future of AI and select the path that aligns with your goals to drive innovation and transformative change.

Related Stories

No stories found.
NewsGram
www.newsgram.com

Adaptive AI learns and adapts based on feedback, with development costs ranging from $500,000 to several million.

AI voice clone technology can mimic people's voices with high accuracy and is freely available online.

What has the US Federal Trade Commission warned about the use of voice cloning tools?

Difficult to distinguish from human voice

AI-generated voices can replicate actors' voices in films and be misused for scams or deepfake videos.

Regulation of AI voice clones is needed to prevent misuse, as they can be indistinguishable from real voices.

What are some risks regarding AI voice clning?

What has the US Federal Trade Commission warned about the use of voice cloning tools?

Difficult to distinguish from human voice

AI voice cloning is easily accessible and can be used for audiobooks and other audio materials.

Eleven Labs is extending its voice cloning services for which industries?

Neural networks can generate high-quality voice clones for language learning materials at low proficiency levels.

Title:

Content: Decision, artificial intelligence or truth: the media found out the details of the conversation Prigozhin and Akhmedov
Joseph Prigozhin
Recently, the media drew attention to an audio recording in which, probably, producer Joseph Prigozhin and billionaire Farhad Akhmedov criticize Vladimir Putin and his entourage.
Prigogine immediately called audio fake generated by a neural network, which causes a lot of controversy.
Medusa writes about it.
What is known
In recent days, the media and telegram channels widely distributed audio recording of a conversation between the likely Russian music producer Joseph Prigozhin and billionaire Farhad Akhmedov, who are in a foul form criticizing the Russian leadership.
The authenticity of the votes on the tape has not been confirmed.
Prigozhin 's reaction
Later, Prigozhin gave an interview to Fontanka, in which he stated that “people in private conversation can talk about anything ”, and“ neural networks today allow you to do any miracles. ”
At the same time, Prigozhin claimed that he did not exactly remember such a conversation with Akhmedov, but periodically communicates with him.
According to the second version of the producer, the recording is still not solely the result of the work of neural networks, but "is a symbiosis of spoken phrases and generated, but never uttered":
“Of course, some moments are real in the conversation.
The voice is like mine.
But it is unclear what and how they glued.
We need to understand, ” he said.
The conversation completely generated the neural network
This position Prigozhin adhered to when he first commented on the publication of the audio recording.
However, technical experts stressed that neural networks can not yet so qualitatively mimic the voice of a real person, especially do it within 35 minutes.
A person has small parasitic words, he picks up phrases when he forms a sentence.
The algorithm can copy sound and voice, but cannot reproduce unique language features.
According to the IT specialist, the products that are available on the market today and allow realistic voice copying (for example, Prime Voice AI), are sharpened mainly for the English language, and they have no Russian analogues of comparable quality.
“When you try to copy the Russian language, you can always hear the characteristic metal ringing in the voice very noticeably that it is not a real sound.
In English it is already indistinct, but in Russian it is also not dictated.
So from the point of view of AI, this conversation is definitely not deepfake, I am 100% sure of it, ” he said.
The conversation was glued together from the real replicas of Prigozhin and Akhmedov
According to the analysis of journalists, there is some evidence that the conversation is not glued together.
• Background noise and other voices are heard throughout the recording, the background is always different.
On the soundtrack, which probably refers to Prigozhin, a voice sounds very similar to the voice of his wife Valeria (at these moments Prigozhin refers to this voice "Ler").
• Since the voices of the interlocutors are recorded in two channels - left and right - it is easy to hear what is happening on each track separately.
Faking such a different background noise is incredibly difficult (this is the illegible voices of people to whom Prigozhin turns in English, and sounds similar to the sounds of the elevator or pressing buttons).
There is less noise on Akhmedov ’ s track, but at one point someone ’ s female voice in the background tells him to “steal, ” and then he repeats the word.
• The very nature of the conversation and how the interlocutors interact with each other looks natural: repetition of words and cues, when picking up words, reasking "do you hear?" (to make sure that the interlocutor hears), giving in and shouting as a sign of consent.
Such reactions are very difficult to mount on purpose - this is a titanic and very difficult work.
• The quality of communication throughout the conversation is uneven: somewhere Prigozhin can be heard better, and somewhere worse.
Sometimes individual sounds seem to be eaten a little (especially at the end of phrases, which is natural for our language).
It is unlikely that at first a good sound could be deliberately so worsen.
• In some moments, you can hear Prigozhin hiding his voice and trying to speak not very loudly: this is what people do who do not want strangers in the room to hear them.
• Joseph Prigozhin ’ s key remarks about the attitude to power, the war and his opinion about what is happening in the country sound as natural as possible (and these are fragments of a dialogue in which the interlocutors interact absolutely plausibly).
The actors speak on the audio.
"Such an explanation indirectly contradicts the words of Joseph Prigozhin himself - he claimed that in the conversation" there are real moments ", while the audio recording there are no signs of a sharp change in the language of the interlocutors, and it is unlikely that even the most talented actors are capable of such a parody," the newspaper writes.
However, there is another way to fake someone ’ s voice: an attacker can record himself, withstanding all the characteristic pauses and intonations of the victim, and use the voice conversion technology – with its help, the neural network edits the sound, imitating the voice of another person (examples of such neural networks).
An expert on generative neural networks said that such a scenario is theoretically possible, and poor sound quality on the recording could help hide the changes.
In order to teach the neural network, a minute recording of the voice that needs to be simulated is enough.
At the same time, the most difficult task for the alleged creators of fake audio is not changing the sound, but creating a plausible scenario in which fake Prigozhin and Akhmedov discussed many details related to their private lives.
This is noted by journalist Andrei Zakharov:
In 90% of fake conversations, Mike and Nick come out (writing truthful dialogues is a special skill), in the remaining 10% they blind a maximum of two minutes for the same reason - a truthful, live dialogue is very difficult to write.
Recall, the founder of the Russian PMC "Wagner" Yevgeny Prigozhin commented on the scandal with a combined telephone conversation of music producer Joseph Prigozhin with oligarch Farhad Akhmedov.
According to the founder of the PMC, it is possible to speak critically in a private conversation about the so-called "SVO", but there is no one to refuse their words.
Topical on the topic
Children Hub is a safe way to adapt Ukrainian children and migrants in the EU
Over a thousand children from 3 to 15 years old are given free employment in Warsaw
Help develop CHILDREN HUB

Current voice copying products mainly target English, with creating a plausible scenario being the hardest part of faking audio.

Poor sound quality can mask voice conversion changes, and neural networks can mimic another person's voice.

What has the US Federal Trade Commission warned about the use of voice cloning tools?

Difficult to distinguish from human voice

AI models need three minutes of voice data to clone a voice, preserving its timbre, rhythm, and intonation.

Title:

Content: Artificial intelligence developed by the Israelis is able to duplicate films with the voices of the original
Israeli startup Deepdub has developed a service for translating video content into new languages using machine learning algorithms.
The company uses neural networks to generate the speech of original actors from movies, TV shows, games and advertising.
AI processes voices and then translates them into a new language, preserving the timbre, rhythm, intonation and other important voice nuances in the work of a professional artist.
Deepdub promises to solve the main problems of industries related to voiceover and duplication.
According to Aberdeen, an average of five minutes of storytelling takes an hour to work in a recording studio.
And if the dubbing actor wants to match the original track as much as possible, the time spent on dubbing can increase by another two times.
At the same time, the cost of such services is a significant part of the budget for filmmakers and video game developers - a minute of duplication of one person per language on average costs about $75 for a simple video.
The startup aims to create a one-stop solution for content makers who want to go international or reduce their own costs for translators.
Using synthetic voices based on the original voice patterns of the actors, the startup duplicates movies, games and advertising in the post-production phase.
According to the developers, in addition to reducing costs, dubbing with the help of neural networks gives another advantage - AI reproduces the voice of the original, so the viewer will always watch the film in the form in which it was conceived by the director and performed by the actor. "Our artificial intelligence models allow you to reproduce the characteristics of the voice, using no more than three minutes of original voice data.
The AI-generated voice in the target language can be reproduced at any level of expressiveness, including crying, screaming, talking with food in the mouth, and more — even if the original voice data did not contain this information, ” said Deepdub co-founder Nir Krakowski.
Additionally, Deepdub ’ s algorithms track facial expressions and lip movements of actors.
Thus, the output of the audio track of the startup fully corresponds to how the voice actors work.
The current version of the platform supports six languages, and the startup plans to add six more before the end of next year.
In the long term, the company also intends to take its algorithms to the next level – to teach AI to duplicate voices in real time.
Among the famous works of Deepdub Krasowski mentioned the English-language thriller “Every time I die ” 2019.
The startup dubbed the film into Spanish and Portuguese.
According to the developers, this is one of the first cases when a full-fledged film with synthesized voices was released in the world.
Recently, Deepdub raised $20 million in the series A round. The company will direct the funds received to improve its technologies.

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

intonation
timbre
important vocal nuances

What is necessary for voice cloning to work?

Deepdub's algorithms track facial expressions and lip movements, generating AI voices with variable expressiveness.

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

AI dubbing is significantly cheaper and faster than traditional methods, reducing processing time to near instant.

Voice cloning technology in language learning can be supported by chat-based AI that evaluates pronunciation, grammatical accuracy, and communication skills.

Title:

Content: Home >
International
Japan will launch an empirical study on improving students' oral English with AI
Friday, August 18, 2023, 07: 43
KATHAN / Astana, Aug. 18 (Xinhua) -- In order to improve the "conversational English" skills that Japanese people think they are not good at, the first line of schools will begin to implement "chat-based artificial intelligence (AI)" initiatives.
It is difficult for teachers to teach at the level of dozens of students, but if they use AI, they can instantly grasp the strength and topic of each person and tailor their teaching.
The Ministry of Education, Culture, Science and Technology will conduct empirical research in schools in the near future to explore learning methods using new technologies.
Equmenopolis, a Tokyo-based venture, has developed a chat-based AI in which users talk to their peers and measure their skill levels.
In addition to the evaluation based on the CEFR, the international standard for language proficiency, six recommendations on pronunciation, grammatical accuracy, and the ability to communicate flexibly are also displayed.
AI is characterized by the ability to conduct conversations based on the user ’ s English level.
Instant analysis of the ability in the conversation, for beginners will ask about favorite food, hobbies and other topics around; for high-level learners, will propose abstract topics such as imagining Japan in ten years.
Analyze not only conversation content, but also facial expressions and eye movements.
The Ministry of Liberal Arts plans to start empirical research at Narita International High School in Chiba Prefecture roughly from September.
The survey is not aimed at the beginners of this AI, in the face of whether high school students can also run correctly and can stimulate the enthusiasm of students.
- In the face of AI, even if you are wrong, you will not be embarrassed.
Able to reduce fear and repeat conversations.
In the future, we will promote the development of AI for junior high school students. - Yoichi Matsuyama, Representative Director of Equmenopolis.
The ministry will also conduct empirical research using additional AI in schools in Kagawa Prefecture and Osaka prefecture, with officials saying they “want to verify the results and explore utilization. ”
International Japan Science and Technology

How will educational institutions benefit from developing AI voice audio content for languages learners?

Enhance language comprehension
Enhance pronunciation abilities

Mobile apps like SpokenBot and ReadOutLoud use AI speech generation for interactive language learning.

Title:

Content: Evergrande students develop English Putonghua learning mobile app to create self-learning platform
08 June 2023 03: 00
Eastern Network Television
More News Clips
The research team at Hang Seng University has developed a free mobile app for students and the public to learn the language.
The research team of the Hang Seng University of Hong Kong has developed "SpokenBot" and "ReadOutLoud", free mobile apps for students and the public to learn languages, to help users improve the accuracy of English and Putonghua applications.
The development team aims to develop interactive learning and self-improvement models through self-learning platforms built by AI engines and chatbot technology to create a more effective learning environment for users.
The app "SpokenBot" combines three functions: practicing vocabulary, evaluating vocabulary pronunciation, and evaluating sentence pronunciation. It provides nearly 100 scenes that are close to current events and society, including emerging technology, digitization, and the workplace, and more than 8,000 English words.
SpokenBot will also update the news headlines daily for you to read and learn English, prepare for the IELTS international English test, and even work.
Users can also customize the number of study days to develop a learning mode, and learn English by themselves through a chat robot.
“ReadOutLoud ” automatically downloads news content from radio stations and government news networks daily, and reads the relevant content in Putonghua or English through simulated AI speech generation technology.
After listening, the user can read the content through the recording function. The AI engine will analyze the pronunciation of the content, and rate the user and indicate the words that can improve the pronunciation.
Dr Ho Chun-ho, Director of Management Science and Information Management at Hang Seng University, said the project aims to help users improve their English skills and address issues such as vocabulary, sentence structure, pronunciation and "Hong Kong-style English". to get improved.

The effectiveness of voice cloning technology can be measured by assessing its impact on language learners' listening comprehension and the technology's own accuracy.

How will educational institutions benefit from developing AI voice audio content for languages learners?

Voice cloning technology can improve listening comprehension for low-proficiency language learners, depending on its quality and instructional use.

Title:

Content: clonemyvoice.io
WebCatalog Desktop not installed for you?
Download WebCatalog Desktop.
Use of the web application
Website: clonemyvoice.io
Get a better experience using the desktop app from clonemyvoice.io on WebCatalog Desktop for Mac, Windows and Linux.
Run apps on Windows distraction-free with several improvements.
You can easily manage and switch between multiple accounts and apps without switching browsers.
clonemyvoice.io is an artificial intelligence-based platform that specializes in creating accurate voice feedback from available source materials.
The tool is designed to handle long-form content for various applications, including podcasts, presentations, and social media.
Users provide an audio sample of the sound to be imitated, along with the text to be pronounced, and the system processes this data to create a voiceover.
This tool supports any language and offers sounds in different dialects.
clonemyvoice.io claims to accurately capture the tone, pitch and essence of the original sound in its connections.
The final audio files can be downloaded after processing.
In accordance with the privacy policies disclosed, user data is processed on the site, is not shared with third parties, and is completely deleted after 14 days.
In addition to audio commentary for audio shows and social media content, its capabilities extend to the production of podcasts and complete audio books.
User testimonials highlight the user-friendly interface of the system and the impressive level of detail and accuracy in audio reproduction.
Website: clonemyvoice.io
Disclaimer: WebCatalog is not affiliated with, associated with, licensed, or endorsed in any way or officially connected to clonemyvoice.io.
All product names, logos and trademarks are owned by their respective owners.
© 2024 WebCatalog, Inc.
We use cookies to provide and improve our websites.
Your use of our sites indicates your consent to cookies.

How will educational institutions benefit from developing AI voice audio content for languages learners?

To ensure cultural sensitivity, consider regional preferences when designing voice-cloned materials, especially for less common languages or dialects.

Title:

Content: Grow with AppMaster.
Be Our Partner
Grow with AppMaster.
Become our partner
Application Localization
App localization, also known as app internationalization or i18n, is an important aspect of mobile app development that focuses on adapting the app to suit the diverse linguistic, cultural, and regional preferences of various target markets around the world.
This process allows developers to reach a wider audience and enhance the user experience by offering culturally appropriate and accessible content and user interfaces in different languages.
Application localization meets factors such as text translation, time and date formats, currency notation, data processing, user interface design, compliance with local regulations and standards, among others.
Mobile app localization requires a multifaceted approach that includes linguistic, technical, and cultural elements.
According to the App Annie Intelligence Report, local apps showed a significant increase in downloads, with an increase in downloads of up to 120% in a given market when translated accurately.
Moreover, investments in app localization can yield significant returns, providing developers with a more cost-effective way to reach potential users in diverse markets.
AppMaster, the powerful no-code tool for creating backend, web and mobile apps, provides developers with a comprehensive and easy-to-use platform to implement app localization strategies.
With AppMaster, developers can visually create data models, design business processes, optimize user interfaces, and create customizable mobile apps for Android and iOS.
Moreover, AppMaster ’ s server-based approach allows developers to easily update the user interface, content, and translation settings of mobile apps without having to send new versions to the App Store or Google Play.
When implementing application localization, developers should consider the following key aspects:
Translation and language support: Application developers should ensure that content, including text labels, prompts, error messages, and user documentation, is accurately translated into target languages.
This process involves collaborating with professional translators or language service providers who are experienced in the field and familiar with cultural nuances.
Developers should also consider the expansion or contraction of text that arises from the translation of content, affecting the design and layout of the UI.
Regional Preferences and Cultural Sensitivity: Localization efforts should take into account regional and cultural preferences, and adapt the design and user interface to ensure a good resonance with the target audience.
This may include modifications to color schemes, images, icons, or themes that cater to particular cultural tastes or sensitivities.
In addition, the integration of region-specific features, such as social media integration, can provide a more targeted application experience.
Data processing, formats and standards: Localization of applications should address regional or country-specific formats for dates, times, numbers, currencies, address representations, and more.
This process may also involve adapting units of measurement, sorting orders, and complying with local regulations, data protection procedures, and accessibility standards.
Testing and Quality Assurance: To ensure that translated applications run smoothly and meet user expectations, developers must conduct thorough tests on devices and configurations designed specifically for target markets.
This includes checking linguistic accuracy, compatibility with regional settings, and compliance with market-specific guidelines and legal requirements.
Following a rigorous testing and review process is essential to maintaining high quality local application experiences.
In conclusion, app localization plays an important role in mobile app development, allowing developers to meet the needs of diverse target markets and enhance the overall user experience.
AppMaster ’ s no-code platform provides a powerful, versatile solution for creating, deploying, and managing local applications, helping businesses reach a global audience and achieve scalability.
With its comprehensive range of features and capabilities, AppMaster is well equipped to help developers design and implement successful app localization strategies that drive growth and success in today ’ s competitive market landscape.
Related publications
Troubleshoot common issues with REST API
Learn how to deal with common challenges you face while working with REST API, including authentication, rate setting, CORS, pagination, and more, accompanied by solutions and tips.
Best Drag-and-Drop Website Builders of 2023
A comprehensive comparison and review of website builders, their features and usability to help you choose the best.
What are data structures?
Definition and types
Discover the world of data structures, understand their importance in software development, and explore the different types of data structures and their practical applications.
Get started for free
What inspired you to try this on your own?
The best way to understand the power of AppMaster is to see it for yourself.
Create your own app in minutes with a free subscription
Bring your ideas to life

What are some risks regarding AI voice clning?

Translation and data processing ensure accuracy and cultural sensitivity in target languages and regional formats.

Collaboration with translators and testing ensure cultural nuances and linguistic accuracy are captured.

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

AI-dubbed technology helps maintain authenticity and cultural nuances in media content for global audiences.

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

AI voice cloning raises ethical considerations, emphasizing the need for responsible development and use.

What are some risks regarding AI voice clning?

Platforms like clonemyvoice.io support any language and dialect for voice cloning, capturing the tone, pitch, and essence of the original sound.

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

The Indian Deepfaker offers voice-cloning services in 117 languages.

Title:

Content: Lok Sabha polls: How GenAI is rewriting political campaigning strategies

GenAI is being widely employed by political parties and candidates for a personalised approach to voters

Illustration: Ajay Mohanty

RangoliAnushka BhardwajBoris Pradhan New Delhi
Generative artificial intelligence is making a serious impact on political campaigns in India, with instances of AI-generated content being shared by parties on both sides of the political divide. These include K T Rama Rao of the Bharat Rashtra Samithi (BRS) campaigning for the Congress, audio and video messages featuring deceased leaders J Jayalalitha and M Karunanidhi, and a viral song video featuring Prime Minister Narendra Modi.

As India heads to the Lok Sabha polls, GenAI-driven campaigns are gaining traction, especially given that over half the population uses at least one social media networking site. “The introduction of GenAI in poll campaigns has led to a significant increase in the re-personification of candidates,” noted Preetham Venkky, chief digital officer at DDB Mudra Group, a marketing agency.

Echoing the observation, Diggaj Mogra, a political consultant and director at Jarvis Technology and Strategy Consulting, said personalised audio messages are in high demand due to their relatability, scalability, and cost efficiency.

GenAI-driven content in politics has witnessed a sharp uptick since October-November 2023, after a few videos, including one featuring the late Karunanidhi, went viral recently. “Initially, we used to get only 1-2 requests in a year. But during October-November last year, such requests surged to more than a hundred,” said Divyendra Singh Jadoun, founder, The Indian Deepfaker, a synthetic media company.

Overcoming the language barrier

The Indian Deepfaker offers voice-cloning services in 117 different languages. Jadoun explained: “The calls are made by a conversational AI agent, giving the impression that the leader is making a direct conversation with the voter, by using his/her name.”

With a diverse voter base and a wide range of local issues and interests, AI-generated content is helping politicians to be omnipresent. “Voice cloning can now address each issue mentioned in the manifesto, removing language and knowledge barriers,” observed Venkky.

Vaibhav Walia, chairman of the communication war-room 2024 for the Congress, revealed the plans to translate Rahul Gandhi’s speeches into almost eight different languages using GenAI and machine learning (ML). He added that AI is being used not only for content creation but also for reaching the target audience.

Easing the cost burden

Also, easy accessibility, scalability, and mass production have cut down the cost of campaigning, especially for independent candidates and those from smaller parties.

Senthil Nayagam, founder of Muonium AI, a Chennai-based visual effects studio, said that parties pay approximately Rs 15-20 per video targeting a particular voter. However, the cost may vary depending on the level of personalisation in the content. Jadoun noted that a full campaign, including voice cloning, a digital avatar of the leader, and social media dissemination, can be designed under Rs 40-45 lakh with the help of GenAI.

“About 80 per cent of the work we do is AI-driven. We have a small team of less than 10 people. AI has cut down my labour costs by 70 per cent,” said Nayagam.

Tool on trial

Despite its cost efficiency and high level of personalisation, GenAI is still being used as an experimental tool by political parties. Abbin Theepura, a political strategist and founder of Politique Marquer, believes that “this Lok Sabha election is more of a trial for GenAI content.” He explained: “Our AI model helps us analyse data for creating accurate advertisements. It has reduced the hours we used to spend on excel-sheets but the groundwork is very much there. Our team collects the data and AI interprets it.”

The wild West

Tech giants and GenAI platforms, including Meta, Google, and OpenAI, are in discussions with the Election Commission of India about monitoring AI-generated content. However, an official framework is still largely absent. Preetham Venkky suggested that each social media platform needs to build a stronger mechanism to regulate the use of GenAI, though he noted that this goal has not been achieved for the current poll season.

Jadoun explained that customised phone calls collect data, such as location and age. This data, along with local concerns and recommendations, can be used by political parties to plan for welfare programmes.

While startups and political parties have their own conditions and guidelines for using GenAI, there is a lack of standardised measures. Jadoun revealed that his company rejected over 50 requests in November from customers who wanted to edit audio and video content to disparage political rivals, some of which contained explicit content. “But some firms agree to such conditions at a very low cost,” he added.

Changing landscape

- Easy accessibility, scalability, and mass production with the help of AI have cut down the cost of campaigning, especially for independent candidates

- Rs 40-45 lakh for a full political campaign

- 117 languages offered in voice-cloning services

- 70% cut in labour costs of firms

- Rs 15-20 per video targeting a particular voter

Don't miss the most important news and views of the day. Get them on our Telegram channel

First Published: Mar 17 2024 | 10:40 PM IST

Explore News

NeuralSpace's VoiceAI offers realistic sounds in various languages, including Arabic, Hindi, and English, with up to 91% accuracy.

Title:

Content: There were 107 press releases posted in the last 24 hours and 446,378 in the last 365 days.
VoiceAI, technology for local dialects, transforming global customer service experiences
NeuralSpace launches AI voices in local languages
NeuralSpace logo
NeuralSpace's VoiceAI platform
LONDON, UNITED KINGDOM, December 10, 2023 / EINPresswire.com / --
NeuralSpace, a leader in linguistic artificial intelligence, has launched a transformative voice technology feature within its VoiceAI platform, offering realistic artificial sounds in Arabic, Hindi and English.
The innovation, unveiled on December 11, marks a major development in sound technology, offering speech formulation with unparalleled precision, especially in local dialects such as Saudi Arabia.
Three main advantages characterize NeuralSpace ’ s offerings:
Cultural Interaction: Artificial sounds capture the essence of local dialects, fostering deep communication between users and technology in regions such as Saudi Arabia, India and the English-speaking world.
Instantaneous Interaction: VoiceAI technology provides instantaneous, natural-sounding voice feedback, which is essential for dynamic speech generation in virtual assistants and voice response systems.
Ease of integration: The technology is sophisticated but easy to use, allowing developers to effortlessly optimize their applications.
VoiceAI for NeuralSpace meets the growing demand for accurate transcription, speech analytics and authentic synthetic sounds.
These AI sounds are finely tuned to real-world interactions, providing engaging and realistic user experiences.
Felix Le Mans, CEO and co-founder of NeuralSpace, said:
“NeuralSpace was founded with a vision to make the technology globally available in any language.
Today, with the release of our natural AI sounds, we are one step closer to turning this dream into reality.
Our human-quality Saudi, Indian and English voices in AI are not just revolutionizing technological innovation; they are gateways to make dialectical interactions with technology a tangible experience for everyone. ”
About VoiceAI: This platform and application programming interface (API) allow companies to copy, translate and analyze voice data with exceptional accuracy, especially in Arabic and Hindi.
Key features include up to 91% copy accuracy for these languages, surpassing major tech brands.
The platform also ensures high-level data security through in-house deployment, NeuralSpace ’ s ISO 27001 certification and compliance with the General Data Protection Law.
NeuralSpace invites you to integrate VoiceAI into your systems, and promises to change customer experiences.
The platform can be accessed via a code-free web platform, REST APIs, and Python SDK, ensuring easy integration.
About NeuralSpace: At the forefront of linguistic artificial intelligence, NeuralSpace is committed to technologies that enhance human-machine communication.
VoiceAI embodies this vision, reflecting the diversity and richness of human languages.
For more information, demos or enquiries, visit www.neuralspace.ai or contact sales @ neuralspace.ai.
NeuralSpace ’ s latest innovation is more than just a technological advance; it ’ s a step towards a future where you not only understand technology but also speak with a voice that resonates with the cultural richness of human languages.
Melanie Swamy-Brown
NeuralSpace
melanie @ neuralspace.ai
Visit us on social media:
Twitter
LinkedIn
Youtube

Human-in-the-loop AI Dubbing is used to ensure cultural sensitivity and authenticity in multiple languages.

Title:

Content: Industry Feed

3Play Media to demo its new AI Dubbing technology at NAB Show

Contributed Content / Press Release

3Play Media, the leading media accessibility provider in North America, is pioneering an innovative human-in-the-loop AI Dubbing solution. At launch, the new AI Dubbing product combines human-edited transcripts and translations with best-in-class AI voice matching to produce a premium, cost-effective, and highly accurate audio track at scale.

“Outside of top-tier media, the economics and timelines of content localization don’t work for most companies,” Josh Miller, Co-CEO and Co-Founder of 3Play Media, said. “And frankly, the quality of fully automated dubbing is a brand risk for organizations trying to enter international markets. Global companies, emerging media, and publishers are looking to balance cost without sacrificing accuracy and quality.”

“3Play Media is addressing AI Dubbing differently than the rest of the market — for the last 15 years, we have built our business on combining technology and people to produce cost-effective, quality captions, subtitles, and audio description at scale. We deeply understand the value of human-in-the-loop AI solutions, and are excited to launch an AI Dubbing product that organizations can trust,” Co-CEO and Co-Founder, Chris Antunes added. “Unlike new-to-market solutions, we also have a robust platform, integrations, and API workflows that are designed for ingesting and delivering video assets at scale, making the user experience seamless.”

Benefits of 3Play Media’s AI dubbing

3Play Media’s AI Dubbing product offers exceptional quality and accuracy at a fraction of the cost and turnaround of traditional, human voice artist dubbing solutions. 3Play is uniquely situated to maximize human-in-the-loop workflows to ensure users receive the optimal combination of people and AI throughout the dubbing process. At launch, AI Dubbing will be available in English, Dutch, French, German, Italian, Japanese, Portuguese, and Spanish with more languages to be added.

AI Dubbing delivers the following functionality and benefits:

  • Easy Ordering. Upload videos for dubbing via our user-friendly platform or automatically via API or integration.
  • Rapid Turnaround. Even with a human in the loop, get high-quality output in days – compared to traditional workflows taking weeks.
  • Human-in-the-loop Transcription & Translation. The foundation of a great dub is an accurate source language transcript and translation, precisely timed with the speech in the source audio. 3Play Media provides the highest transcription accuracy in the market, then uses professional linguists to produce a premium script for dubbing.
  • Translation Glossaries. Brand matters – and translation glossaries help protect brand voice when translating to another language. By tapping into stored translation profiles, you can reliably meet quality output across all of your orders.
  • Preserve Background Music and Handle Multiple Speakers. Automated dubbing only works if the final experience doesn’t distract the viewer from the intended experience. Ensuring the background audio is preserved, and the speech elements are replaced, creates a superior experience.
  • Voice Matching. Our AI Dubbing solution utilizes voice matching, which pairs the speakers in your source video with the closest synthetic voice match across a huge library of authentic, high-quality voices.
  • Human QA. We offer one final check with a human to ensure the timing, voice, phrasing, and speech rate of the dubbed track are natural.
  • File Download. Upon completion of the service, easily download your dubbed tracks in whatever formats you require – or post back automatically via integration or API.

AI voice over generators can produce multilingual voice overs, but quality, tone, pace, and accent adjustments are crucial.

Title:

Content: Home > Web3

AI Voice Over Generator: Turning Text to Speech in 24 Languages

newsonjapan.com -- Aug 15
Communication has crossed boundaries and languages in today's technology driven society.

The AI voice over generator, a sophisticated technology capable of translating written text into realistic speech in a variety of languages, is a driving force in this worldwide change. The astonishing capacity of these technologies to produce voice overs in 24 different languages, and often more, is propelling them to the forefront of digital communication. We go deep into the field of AI-driven text to voice below, giving practical tips for anybody interested in realizing its enormous potential.

Why Do Multilingual Skills Matter?

Language inclusion is critical for companies, schools, and content providers that want to reach a global audience. An AI voice over generator that handles various languages allows for a broader reach while also ensuring that no audience section feels alienated. Multilingual technologies, such as those that transform English transcripts into Mandarin audio or Spanish text into French voice, help to break down communication obstacles.

Practical User Advice:

Emphasize Quality Over Quantity: While having a tool that can translate text in several languages seems great, it is critical to emphasize output quality. Choose platforms that are well-known for their precision and realistic voice reproduction.

Adjust the Tone, pace, and Accent: A decent AI voice over generator enables users to adjust the tone, pace, and accent of the created speech. This adaptability guarantees that the discourse is genuine and connects with the intended listener.

Keep Up to Date: Because these technologies are based on AI, they are always improving. Regular software upgrades might bring new languages to the table or enhance current ones. To benefit from the most recent advances, keep your software up to date at all times.

Using Nuanced Speech to Bridge Cultural Gaps

Understanding a language entails understanding the nuances, intonations, and cultural nuances as well as the words themselves. Advanced AI voice over generators not only translate text to speech but also guarantee that the speech is emotionally appropriate. For example, the way a joke is presented in Japanese may vary from how it is shown in German. As a result, always use a tool that considers these subtleties in order to make the speech seem as genuine and culturally appropriate as feasible.

Potential Multilingual Text to Speech Applications:

E-Learning Platforms: Educators may build courses in one language and then utilize an AI voice over generator to translate them into numerous languages, guaranteeing that learners all over the globe can benefit.

Podcasts in different Languages: Podcast makers may reach a worldwide audience by giving their material in different languages without having to re-record episodes.

Global Business Presentations: Companies with a global presence may simply tailor their presentations to a variety of language audiences.

Scalability and pricing

Costs, like with any technology, might be an issue. With the rise of cloud-based solutions, however, many AI voice over producers now provide scalable price structures. There is undoubtedly a price option to meet your needs, whether you are an individual wishing to convert a few pages or an organization with mass requirements.

Data Privacy Is Important

Given that these technologies may be used to convert sensitive or private information, it is critical to address data privacy. Choose platforms that emphasize user data security to ensure that the material you convert stays private.

Extending the Multilingual Communication Landscape

As companies and organizations strive for a worldwide presence, the demand for multilingual communication has never been greater. Then there are AI voice over generators. These technologies provide companies, schools, and content producers an advantage by enabling them to cater to a varied audience.

Courses in numerous Languages: Educators and e-learning platforms may now offer their courses in numerous languages. Python programming may be learned in Mandarin by one student in Beijing and Portuguese by another in So Paulo. Learning results are improved by catering to their linguistic comfort. The student may concentrate on grasping the material rather than dealing with linguistic intricacies.

Digital Marketing: By employing the AI voice over generator to translate and vocalize their promotional material, brands can easily roll out worldwide campaigns. This not only saves time, but it also guarantees that the brand message is consistent across several languages.

IVR (Interactive Voice Response) Systems: Companies may customize their customer service lines by using AI-generated voices in several languages. This provides a more personalized client experience, which may dramatically increase user happiness and loyalty.

Podcasters, YouTube makers, and digital storytellers may utilize these technologies to make their material accessible in several languages, extending their fan base and worldwide reach.

Language and Cultural Nuances

While these AI voice over generators' skills are astounding, users should be conscious of the subtleties and complexity of various languages and cultures. Even if a technology is capable of converting text to voice in 24 languages, the user must verify that the material is culturally appropriate and respectful. Certain idioms or phrases in English, for example, may not have a direct counterpart in another language or may be misconstrued.

AI engineers are tackling these issues by training their models on culturally varied datasets in order to capture the nuances of each language. However, it is also the users' responsibility to examine and, if required, change the created information to guarantee its relevancy and appropriateness.

Best Practices for Using AI Voice Over Generators

Here are some practical advice for individuals who want to fully use the possibilities of AI voice over generators:

Always Review the Output: Before completing, always listen to the created voice over. Check that your pronunciation, intonation, and emotion are appropriate for the context of your topic.

Customize Settings: Most programs enable users to change the pace, pitch, and other characteristics of their voice. Experiment with these options to get the desired result.

Keep up to date: The disciplines of AI and machine learning are rapidly growing. Use the most recent version of the program or application, since developers are always refining and improving their algorithms.

Request input: If your material is intended for a particular linguistic group, get input from native speakers. They may reveal insights that non-natives may miss.

In conclusion

In the digital age, the AI voice over generator is changing the way we interact. Its capacity to convert text into lifelike voice in different languages bridges barriers, fosters inclusion, and makes global communication easier than ever. Remember to consider quality, cultural subtlety, and data protection as you investigate the numerous products in the text to speech domain. By doing so, you get access to more than simply a tool; you also gain access to worldwide dialogues.

Web3 Page: 1 | 2 | 3

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

How will AI Voice help educators with building courses?

Regular software updates and advanced AI voice over generators make them suitable for e-learning platforms by considering cultural nuances.

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

Reviewing output for cultural appropriateness and seeking native speaker input ensures accuracy and authenticity.

The development and use of voice cloning technology must be guided by transparency, responsibility, and respect for cultural biases and privacy laws.

Title:

Content: Mabra announces the drafting of eight guidelines for the use of artificial intelligence in the field of public relations and media communication
Unveiling the first framework for the use of artificial intelligence in the public relations and communication sector
The Middle East Public Relations Association (MBRA), the leading public relations and communication body in the Middle East, has unveiled the first guidance document that includes a set of guidelines for the use of artificial intelligence (AI) in the field of public relations and media communication.
Through a joint collaboration between Mabra ’ s Artificial Intelligence Department and the ChatGBT platform, Mabra has developed eight guiding principles as a guiding framework for the effective and ethical use of AI for its members and others working in the field.
These principles, based on regional and global standards, form a frame of reference that helps to responsibly integrate AI into daily content production processes, along with other guidelines, policies and references.
Margaret Flanagan, co-founder of Tales & Heads and chairman of Mabra ’ s Artificial Intelligence Committee, stressed the importance of the new framework, saying:
“By formulating this framework, we are looking to promote the responsible use of AI in public relations, protect the outputs of this important field in the region, and lay the foundations of a unified methodology for the use of AI tools in various organizations, while raising awareness of the ethical and legal implications of such technologies. ”
“We believe that our responsibilities go beyond the organizations we work with, to include relevant media professionals and the wider public, especially as the continuous development of AI and the rapid change in regulations for its use prompt us to continue to develop the practical guidance and updates needed to ensure that these technologies are used responsibly and effectively. ”
Mabra ’ s Artificial Intelligence Committee includes professionals such as Ibrahim Al Mutawa, Co-Founder and Managing Director of Jumar PR; Tala Abu Taha, PR Manager at Viola Communications; Andrea Gesdal, Independent Communications Consultant; Natasha Hatheral Shaw, Founder and CEO of TishTash; and Henry Jenkins, Senior Vice President and Head of Business Marketing at First Abu Dhabi Bank Professor Dalia Mahmoud, European University of Applied Sciences; Joseph Nalore, Head of Communication Control, School of Communication, Murdoch University Dubai; Kirsty O ’ Connor, Regional Director of Innovation, Hill & Knowlton; Nada Shelton, Senior Vice President of Communication, Mubadala Group; Enka Steever, Professor of Practice, Zayed University, School of Communication and Media Sciences; and Denise Graemin, Director of Operations Qatar for Advertising and Advertising.
The guidelines issued include:
1.
Integrity and transparency: referring to the use of AI every time it is used in public relations and media communications to ensure trust.
This involves having a prior dialogue with customers or line managers to inform them about the reliance on AI platforms and how they are being used.
That doesn ’ t mean you have to go back to them every time, as specific standards for the use of AI can be agreed upon.
When you are asked directly whether you have used AI in a particular project, you have to be honest and transparent.
If you are asked not to use artificial intelligence in a particular project, you must abide by these instructions.
We recommend best practice recommendations, such as the University of Cambridge recommendations on the optimal use of text, audio and video AI tools.
It is necessary to keep abreast of the legal materials on this subject in order to keep up with the constant change of the proposed bills in the definition of intellectual property and the fair use of creative content.
2.
Responsibility and credibility: It is essential that the PR and media communications industry be honest about the use of AI in content sent to the media.
Transparency in the use of AI is not limited to customers and co-workers, but includes content that is shared with the media.
Photos, videos and audio clips that will be sent to the media when created using AI should always be clearly marked.
It is preferable that the entire textual content of the media be written by the staff or at least with their explicit intervention.
If artificial intelligence is used, a signal should be clearly placed.
Concerns are growing today about misinformation and misinformation leading to a decline in trust in the media.
Content created using artificial intelligence further erodes this trust.
It is the responsibility of public relations and media communication experts to provide the media with content that does not compromise the reputation of the media or reduce its credibility to the target audience.
Therefore, a plan must be developed to address any problem or crisis that arises as a result of providing the media with content created by artificial intelligence.
3.
Respect privacy: Ensure that all AI tools used follow privacy laws and use copyrighted content.
Always remember that the data you provide with AI tools, including files, order form and your account information, is saved and used as a standard procedure by the companies that manage the AI tools.
Therefore, it is important to know the privacy settings and what data you can hand over to an AI tool and which data should not be shared to ensure the integrity of the information.
It is common knowledge that the public relations and media communications sector deals with a lot of sensitive information about customers and companies, including government institutions and companies listed on the stock exchange.
To reduce risk, data and files that are not confidential or that are already available to the public can be entered.
You should also familiarize yourself with and adhere to data security protocols and non-disclosure agreements regarding the use of AI for your customers or organization.
4.
Using artificial intelligence correctly: Ensure the accuracy and accuracy of the content issued by the artificial intelligence before sharing it to avoid spreading false information.
Reference should be made to reliable sources to verify the facts, such as scientific reference studies, a known third party or a reliable media outlet.
Look for original sources and research findings whenever possible instead of using unreliable references.
AI is known to compose facts, figures and even links to non-existent research and media stories, so do not assume the validity of the information it provides, and it is necessary to ensure that our sector does not contribute to the dissemination of false information.
When dealing with content in Arabic, remember that AI tools work with a much smaller content base compared to English.
So you ’ ll need more human intervention and editing and additional fact-checking.
5.
Fairness: Attention should be paid to cultural considerations or unfair biases in AI programs and content to ensure inclusiveness and fairness.
Machine learning programs have proven to adopt and amplify some biased human ideas, which means that AI-generated content may be misleading or contribute to amplifying stereotypes.
Therefore, the texts, images and audio generated by artificial intelligence should always be reviewed very carefully.
Using well-thought-out request formats can help to get more comprehensive content.
Because there are so many biases within current technologies, it is our responsibility to review the results and make sure they represent our customers, organizations, cultures and communities.
It is our duty to think about people whose voices are not being embraced in AI content while referencing other sources and drawing on their expertise.
6.
Create real content: AI can be used to help get work done, but remember that it is human creativity and strong relationships that ensure effective communication.
Remember that the ability of AI is limited to relying on existing sources and references, not innovation.
Although detailed demand formulas may help control the type of outcome, machines connect information in a different way than humans, they do not use the senses of sight, smell and taste and have no emotions.
Better text or better image is what drives us to feel differently, and no one can do it so far better than creative people.
7.
Thinking about people: The use of AI may affect society, so make sure you use it to help people and not just serve your goals.
Encourage your team and everyone in the industry to use AI fairly and responsibly.
The use of artificial intelligence is leading to huge consequences that cannot be known or predicted at the moment.
These consequences range from the possibility that a person may lose some jobs, create new jobs, or cause more inclusiveness or more segregation.
These consequences can only be known in due course.
All we can do now is consciously use AI technologies, including practical steps such as not holding customers accountable for work done by AI as a human substitute, and using the skills of editors, content writers, designers and photographers in cases where these skills add irreplaceable value, including work we send to the media.
These conscious practices also involve using artificial intelligence to help us make better decisions rather than trusting technology to make those decisions entirely.
8.
Keep learning and evolving: Keeping abreast of the latest changes in the PR and media communications sector as a result of the use of artificial intelligence, and being prepared to adapt and use this technology optimally.
As AI continues to evolve, laws and regulations governing its use in various markets and sectors are evolving.
We will often see more changes in the future because of the tremendous technological development and our reliance on these developments in new ways.
We are also likely to see more controversy over intellectual property and copyright, such as the New York Times lawsuit against Microsoft, which could have major repercussions on the media, public relations and media communications sector, as well as growing concerns about the use of artificial intelligence to spread misinformation.
It is our responsibility to follow up and ensure that we use artificial intelligence ethically and legally.
News you might like.
No stories found.
Sabq Electronic Newspaper
sabq.org

What are some risks regarding AI voice clning?

Instructors can integrate voice cloning technology into their teaching using tools like clonemyvoice.io, which offers accurate voice feedback in any language and dialect.

How will educational institutions benefit from developing AI voice audio content for languages learners?

Enhance language comprehension
Enhance pronunciation abilities

Clonemyvoice.io captures the tone, pitch, and essence of the original sound for language instruction.

How will educational institutions benefit from developing AI voice audio content for languages learners?

ElevenLabs has created an AI voice cloning tool that maintains the original tone and accent, useful for developing audio content in target languages.

Deepdub, a film dubbing company, uses an AI to process voice and translate into a different language and promises to preserve what?

This technology enhances language comprehension and pronunciation, and creates localized experiences for global audiences.

How will educational institutions benefit from developing AI voice audio content for languages learners?

Enhance language comprehension
Enhance pronunciation abilities

Instructors can use voice cloning technology to provide personalized feedback and create interactive language learning activities.

Title:

Content: 【 Innovation Technology 】 AI Incarnate Instructor Enhances Students ’ Speech Skills Observation Details Scores Quick Corrections Suggestions
Social 00: 00 2022 / 07 / 21
Share:
Share:
Several girls from Lutheran United Secondary School looked firmly and confidently at the camera and explained their ideas to the “mentor ” on the screen over and over again. (photo by Tsang Yiu-fai)
Opportunities are reserved for those who are prepared, but how do people prepare for them?
Several girls in Lutheran Union High School looked firmly and confidently at the camera, took out their best state, and explained their ideas to the “mentor ” on the screen over and over again.
A few hours later, the two “tutors ” were still not tired. They nodded their heads, from pronunciation to grammar, from grammar to using words, and took the trouble to rate and correct the same student.
It turns out that the “mentor ” on the screen is not a real person, but a virtual audience simulated by Moodie.ai artificial intelligence (AI), launched by Deli Data, can use more than 100 observation points, and then rate the student user ’ s facial expression, body language, tone, fluency and other categories, and give advice.
"Communication is a key skill in the 21st century, but less than 5% of students have the opportunity to receive speech training, and a teacher often has to teach dozens of students, making it difficult to be one-on-one."
The AI tutor provided one-on-one guidance to more than 100 students in the school. Mr Chung said that the language teacher had responded positively to the system and was studying its inclusion in the supplementary training for public examinations. More than 100 students in Secondary 4 and Junior Secondary have started to trial the system.
Click the image to enlarge
+ 3
+ 2
In front of the camera, Li Zhiying, a middle school student with a trial program, talks freely, and is relaxed and generous in the face of the "long guns and short guns" under the spotlight.
But surprisingly, she described her former self as "talking choke" and "strict", and she was nervous and stiff at some important competitions.
Au Kai-man, also a Form 5 student ambassador, is a bridge between the school and the parents, and she has experience in the face of big occasions. She is also confident and articulate in front of the camera.
But in the face of sudden accidents, the unprepared Au Kaiwen can not help but feel helpless.
She recalled that when she led more than 10 parents and primary school students to visit the school, the classroom that was scheduled to be visited was locked, so that dozens of people remained outside the classroom door. Under the gaze of unknown parents, Au Kaiwen still remembers the timidity and panic of the moment.
Try Moodie.
ai Just over a month, Li Zhiying said that the system for practice, the object is actually themselves, but will make themselves more focused, more dare to express themselves.
Au Kaiwen also gradually became accustomed to facing virtual audiences with different expressions from her training, and even in an environment where she was not trusted, "it all calmed down."
Due to the lack of adequate guidance during the epidemic, Li Sien, a middle school student, often has to practice oral exams alone.
Under the introduction of Chung Fu-yuan, she tried to use Moodie.ai. “Teachers generally pay more attention to the content expressed by students when evaluating, and the system will help me pay attention to the vocal line, body language, expression and other areas that are easily overlooked, so that I can focus on the content of the speech, and can get feedback within 10 minutes. ”
Au Kai-wen also admitted to the online class form of oral test, when the teacher did not pay attention to their own group, the desire to discuss among the students is not high, often "dead air" situation.
But when she uses the system training alone, she does not face the embarrassment or tension of others, and is more willing to talk.
Government issues e-Vouchers to see the latest shopping mall offers: https: / / bit.ly / 3xdMkJc
More Urban Disease Videos: https: / / bit.ly / 3cNFwr7
The hket App has been fully upgraded, and TOPICK has launched a series of family, health, entertainment, Hong Kong news and leisure life information and videos for everyone.
Download now: https: / / bit.ly / 34FTtW9
Reporter: Wong Ying-chun

How will educational institutions benefit from developing AI voice audio content for languages learners?

Enhance language comprehension
Respond to different learning demands

Voice cloning technology raises concerns about scams and deepfakes, highlighting the need for regulation.

Title:

Content: Limited Time Free
App Exclusive
Go to
Scan open:
[AI Era] Half of Cyberport Enterprises Develop Generative AI Products
10: 00 2023 / 07 / 01
Share:
Share:
Cyberport is committed to encouraging start-ups to develop new technologies such as generative AI to enhance services and products, solve different life pain points for citizens and enterprises in different daily life scenarios such as food, education and entertainment, and provide more opportunities for the public to access AI and realize technology popularization. (photo by Leung Wai-wing)
Generative AI has developed rapidly in Hong Kong. About half of the 1,900 social enterprises in Cyberport have applied or are exploring the integration of the technology into their solutions. Four of them have developed corresponding products in English education, property management and customer service scenarios using voice or text AI generation technology.
English conversation is an important subject for students to take exams, but it is only practiced during school hours, and the results are quite limited.
Intelligent English conversation software company Lango uses generative AI to create a series of real-time response teaching functions, including the creation of virtual exchange student roles, so that students can interact with the AI in real time, anytime, anywhere through the app.
Students interact with AI in real time with the app
The Hong Kong Diploma of Secondary Education (DSE) oral English test also involves group discussion, but the practice requires several students and teachers to be present, if you want to practice regularly, it is not easy to arrange, so the app also provides Virtual DSE Group Discussion, even if the student is alone, you can simulate the practice with AI classmates and teachers on different topics.
【 AI Era 】 Survey: 62% of surveyed companies intend to use AI for human resources
Pan Haoxiang, co-founder of Lango, said that different teachers may have different criteria for students' English proficiency, and the AI can provide more objective standards to assess students' level, and can monitor students' progress through data analysis, so as to provide more targeted and efficient practice.
Check your reservation with AI on WhatsApp
With regard to property management, in the past, the public's impression of property management may have been that of distributing notices and collecting management fees, but with the progress of society, the quality requirements of tenants for property management have increased considerably, and they even hope that property management companies can help solve more household problems.
To meet the needs of this market, Butler, a smart home management solution provider, uses generative AI to provide “smart butler service ”. Residents can quickly get relevant feedback by simply using WhatsApp to query the AI, such as receiving management fee receipts, getting building notifications, making complaints, and booking home cleaning and laundry services.
Property management companies can also use the “Butler Building Optimization System ” to help manage services such as invoices, notifications, complaint handling and facility booking through generative AI, and record all daily work processes in real time to enhance management effectiveness and enhance staff productivity.
【 AI Workplace 】 Coding talent shortage experts call for more training of employees
Butler Asia co-founder David Chan pointed out that the system can bring concierge services similar to five-star hotel accommodation into the residential experience, not only help to increase the happiness of residents, but also conducive to the long-term appreciation of residential buildings, which is a win-win situation for residents, property management companies and developers.
Virtual Customer Service Ambassador Answers Voice Enquiry
There is a shortage of local labor force, and the problem is plaguing many industries, especially the shortage of front-line customer service staff is normal.
In order to solve this pain point, Asiabots, an intelligent customer service startup, has developed a “virtual customer service ambassador ” system with generative AI.
The system can be installed to different sizes of smart screens, electronic water signs and various mechanical devices. Users only need to ask it through voice, and AI can answer relevant customer service questions. At present, the shopping malls and parks of Cyberport are used to provide self-service, reducing the workload of front-line staff.
Hong Kong talent has created a 17-year high AI craze
Set Sail Software, another intelligent customer service startup, has built a “smart digital employee ” platform for enterprises to provide customer inquiry and sales services through conversational AI.
Author: Chen Cheuk-hsien
For each episode, please come to Hong Kong corporate brands to share tips for doing business after the epidemic.
See the latest episode:
Follow the latest financial news analysis, like hket Facebook
Subscribe to the Hong Kong Economic Times email newsletter
Receive first-hand financial news Learn more about investment and financial knowledge Submit my consent to receive promotional messages from Hong Kong Economic Times Group. You may also check the privacy policy of this website Terms of Use

What are some risks regarding AI voice clning?

What do cybersecurity experts believe about the use of synthesized voice?

could become a popular method of attacking banks and financial services

Voice cloning technology in language instruction raises ethical challenges, including authentic and valid student assessments.

Title:

Content: ChatGPT designs Hong Kong-style content for Chinese and English learning difficulties Yu Chun-keung Memorial Secondary School trial plug-in
Author: Lu Chin-yang
Published: Updated:
The education community is discussing how to introduce ChatGPT to assist in teaching and administrative work. In an interview with Education 01, Yang Xuehai, the principal of Ho Man Tin Yu Chun Keung Memorial Secondary School, described ChatGPT as able to transcend Moodle ’ s limitations on student practice and improve teaching efficiency.
He also mentioned that schools are now purchasing Plug-in for ChatGPT, which allows ChatGPT to directly access the school database and enable ChatGPT to generate information for the education sector in Hong Kong, including DSE examinations, school administration and related regulations.
Yu Chun Keung Memorial Secondary School Principal Yang Hue Hoi mentioned that ChatGPT can go beyond Moodle ’ s limitations in student practice and improve teaching efficiency by targeting students ’ learning difficulties. (photo by Yu Chun Leung)
Moodle Limited Features ChatGPT to Learn Advanced Concepts
In 1994 and 1999, Principal Yang was seconded to the then Education Department to assist in the development of school and administrative management systems and to support schools in the development of information technology education.
After he became president in 2015, he gradually upgraded the school ’ s information technology facilities and introduced the Moodle system, which is commonly used in universities.
After students have completed their practice in the system, teachers can analyze the performance of students according to the data, understand the students' weaknesses, adjust the curriculum in a timely manner and make good use of the class time.
"ChatGPT came out and found it so interesting, it seemed to satisfy my shortcomings, it was like adding wings to the tiger," and "it satisfied the whole idea of education, and every subject was satisfied."
The school has introduced ChatGPT to help teach in a variety of subjects, such as senior high school history to develop students ’ appreciation and understanding of the DSE scoring criteria, and to help produce teaching materials for Chinese and English subjects.
For example, some teachers have used ChatGPT to prepare teaching materials, and the time required has been reduced from 45 minutes to 5 minutes. The extra time can be spent chatting with students or professional exchanges with colleagues.
The principal of Yu Chun Keung Memorial Secondary School, Yeung Hue Hoi, said the school is planning to trial the “Retrieval ” plugin so that ChatGPT can directly read the school ’ s content stored in the cloud to generate content suitable for the Hong Kong curriculum.
(photo by Yu Chun-liang)
Buy Plugin Enhance ChatGPT Function to Read School Data Generated Content Directly
YU Chun-keung Memorial Secondary School ’ s efforts to optimize ChatGPT teaching did not stop there. Yang pointed out that the content generated by ChatGPT is limited by the database, and the data source is only foreign as of 2021. Therefore, ChatGPT plans to try the “Retrieval ” plugin to enable ChatGPT to read the content stored in the cloud directly by the school to generate content suitable for Hong Kong curriculum.
As an example, teachers often need to look through various kinds of documents when dealing with administrative matters, which takes a lot of time.
In the future, schools only need to store the relevant documents in the database and have ChatGPT read the data. Teachers can ask ChatGPT to find out the articles that need to be cited and provide administrative steps, and then the teachers can check and confirm them, so as to improve efficiency.
Individual teachers first try IT teachers one-on-one technical assistance
ChatGPT has been under discussion for only a few months, and many teachers are still holding a wait-and-see attitude. For example, President Yang will invite individual teachers to try ChatGPT first, and arrange IT teachers to provide 1: 1 guidance to help solve technical problems, so that teachers are more willing to try.
Once they understand the new technology, they can also help other teachers learn the new technology. It is believed that 60% to 80% of teachers in schools can master the new technology in only about two years and consider extending it to the whole school level.
The Principal of Yu Chun Keung Memorial Secondary School, Mr Yeung Hok-hoi (pictured), also has a set of initiatives to promote new technologies in schools to encourage teachers to adopt them.
On the left is Cai Tsung-hsi, a Chinese teacher, and on the right is Li Kun Wai, a history teacher. (photo by Yu Chun-liang)
As one of the first batch of trainees, the Chinese teacher of the school, Tsai Tsung-hsi, believes that if teachers are to use new technologies, they must first have relevant demonstrations, and their teaching examples will be able to lead the way, and other teachers will be willing to try them out when they see that their colleagues who have tried first can help students learn.
Using ChatGPT to generate listening volume recordings with AI for students ’ difficulties
ChatGPT has been introduced to help teachers in both Chinese and English subjects of Yu Chun Keung Memorial Secondary School. Mr Choi noted that it is difficult for teachers to carefully understand what students do not know. For example, the weakness of students may be due to lack of vocabulary and writing skills.
For example, he pointed out that one of the most common problems of students is that they cannot distinguish which data provided by the topic is suitable, so he used ChatGPT to generate the topic, and specified that there must be a certain amount of useless data in the data, so as to strengthen the ability of students to filter information.
As for English, teachers use ChatGPT to integrate teaching content, so that "listening, reading and writing" exercises can be closely linked to each other.
For example, through instructions, ChatGPT helps generate the "Listening, Reading and Writing" test papers with the same content and words, so that students can continue to use the same content to deepen their memory.
In the past, teachers would need to invest a lot of time to produce a similar result.
In addition, the English section also uses AI ’ s Text to Speech function to record the audio of the listening volume, eliminating the difficulty and time of the teacher recording, adjusting the speed of speech, setting different accents, and even adding the classic song “Green Sleeve ” to the HKDSE listening volume.

Instructors must evaluate the effectiveness of voice cloning technology on learning outcomes and student engagement.

Title:

Content: Abu Dhabi, UAE: Abu Dhabi University (ADU) reaffirms its commitment to educational excellence with the launch of two cutting-edge professional development certificates through its SMART Learning Center, the “Art and Science of Teaching Professional Development Certificate” and the “AI-Enhanced Teaching and Learning Certificate.” These certificates mark a significant advancement in ADU’s teaching methodologies, promising to elevate the faculty’s teaching methodology and thus contributing to the overall student learning experience.

ADU’s SMART Learning Center has introduced the AI-Enhanced Teaching and Learning Certificate, for faculty members from ADU and Liwa College. This certified program represents a pioneering leap in educational innovation and is designed to equip educators with the expertise and tools needed to seamlessly integrate Artificial Intelligence (AI) into their teaching practices. By blending theoretical understanding with practical application, faculty members will embark on a transformative journey to enhance teaching effectiveness and foster deeper student engagement.

Through this program, faculty members will gain foundational knowledge of AI applications and their transformative potential in teaching and learning. It will also enable the integration of AI technologies into teaching practices to strengthen curriculum delivery, enhance student’s knowledge and analytical skills in response to the required educational needs. Additionally, faculty members will utilize AI-driven analytics to assess teaching efficiency and learning outcomes, while developing a comprehensive implementation plan for AI technologies in classrooms. In addition to showcasing innovative teaching strategies that promote ethical and independent learning.

Upon the completion of the program, faculty members will receive a certificate, recognizing their proficiency in AI-integrated teaching methodologies.

Aligned with ADU’s dedication to fostering innovation, the Art and Science of Teaching Professional Development Certificate, accessible to adjunct faculty, existing staff and teaching assistants, offers six thorough modules covering the fundamental pillars of teaching excellence. From introductory theories to technological integration, the program seeks to equip educators with the ability to tailor their teaching strategies to the diverse needs of students in inclusive learning environments. Running weekly, participants will delve into several topics, including effective teaching tactics, assessment techniques, and ethical practices, culminating in a holistic grasp of effective pedagogy.

Dr. Hamad Odhabi, Vice Chancellor for Financial and Administrative Affairs at ADU, said: “The AI-Enhanced Teaching and Learning Certificate reflects our commitment to providing exceptional training programs for our faculty and staff members at ADU, supporting them in delivering excellence in education. This certificate provides educators with the skills to analyze educational needs and design AI-integrated curricula to enhance the learning experience in their classrooms. At ADU, we prioritize fostering innovation among our faculty members to improve their teaching practices and contribute to the development of the educational sector.”

Dr. Mohammad Fteiha, Director of Al Ain Campus, and Director of the Centre for Smart Learning at ADU, said: “All thanks to ADU’s leadership, faculty and staff continue to receive unique training and upskilling opportunities that ultimately contribute to the delivery of world-class education. Through the introduction of the two new professional development certificates, we are confident that our faculty will be equipped with the required knowledge and skills to upkeep with the latest teaching and learning methodologies and trends. The integration of AI into the classroom enhances the efficiency and effectiveness of education delivery, nurturing a generation adept at leveraging the latest innovations and breakthrough solutions.”

Furthermore, the Art and Science Certificate, will enable faculty members to harness new technologies and enrich educational experiences, optimizing learning outcomes and embracing multicultural teaching approaches, while upholding ethical standards and mastering adaptive teaching strategies designed for diverse learning contexts.

The ADU SMART Learning Center is dedicated to supporting ADU faculty in utilizing inclusive, student-centered, and evidence-based learning and teaching practices to effectively deliver ADU colleges' online courses and programs.

To know more about Abu Dhabi University’s programs, please visit: https://www.adu.ac.ae/

About Abu Dhabi University:

Abu Dhabi University (ADU) is one of the region’s leading academic institutions, translating the UAE Government’s National Agenda to deliver internationally accredited academic programs and world-class research.

Established in 2003, with campuses across Abu Dhabi, Al Ain, and Dubai, the University serves over 8,000 students from over 100 nationalities. The University is home to five colleges across different disciplines including arts and sciences, business, engineering, health sciences, and law, while offering a diverse range of over 50 undergraduate and graduate programs.

According to the Times Higher Education Rankings (THE), ADU ranks second in the UAE for its research quality, and it is among the top three universities in the UAE, while holding the number one position in the teaching pillar. Additionally, THE Rankings has recognized the University’s Business and Economics subject area as number one in the UAE.

The University has made an impressive debut in THE Young University Rankings 2023, ranking in the 58th position globally among the world's best universities that are 50 years or younger. Furthermore, the University came in 59th place in the prestigious THE Asia Rankings 2023 and was ranked first in the UAE for graduate employability as per the Global University Employability Ranking 2023-24.

Parallelly, ADU ranks in the 580th place globally, according to the 2024 edition of the QS World University Rankings and received a 5-star rating in the 2022 QS Stars rating.

ADU continues to empower faculty and students with state-of-the-art resources, facilities, and learning opportunities that foster innovation and support research-based problem-solving. The University maintains strong international collaborations with leading academic institutions and public and private sector organizations, with institutional accreditation from the Western Association of Schools and Colleges' Senior College and University Commission (WASC).

To know more about ADU, follow on Twitter, Instagram, Facebook, LinkedIn and YouTube.

Media Contacts
Weber Shandwick for Abu Dhabi University
Sara Farrah
Sfarrah@webershandwick.com

Integrating voice cloning technology into teaching requires a thoughtful approach to its benefits and drawbacks.

Title:

Content: Grow with AppMaster.
Become our partner
How to use AI App Builder to create intelligent learning applications?
Intelligent learning applications powered by artificial intelligence (AI) technology have transformed the field of education by providing personalized and engaging learning experiences.
These applications employ advanced algorithms and machine learning to analyze student performance, identify knowledge gaps, and tailor content to meet individual learning needs.
AI-driven learning tools are being used in a variety of educational institutions, including K-12 schools, higher education institutions, and professional training organizations, providing seamless delivery of teaching materials, assessment, and engagement tools.
With the increasing popularity of e-learning and the continuous integration of artificial intelligence in education, intelligent learning application development has become a highly sought after field.
The Importance of Artificial Intelligence in Education
AI has the potential to revolutionize education, facilitate personalized learning, enhance data analytics, enable adaptive learning systems, and facilitate effective communication between educators and students.
Here are some of the ways in which AI plays a key role in modern education:
Personalized learning paths: AI-driven applications can analyze learner strengths, weaknesses, and preferences to create tailored learning plans that allow students to learn at their own pace and improve their understanding of complex topics.
• Automated assessments and feedback: AI can automatically rate assignments, quizzes, and other assessments, saving teachers time while providing immediate feedback to students.
This efficiency allows educators to focus on developing curricula and supporting students.
Data-driven insights: Through data analytics, AI can identify patterns in student performance and help educators understand and address students ’ specific needs, interests, and learning styles.
This information can enhance instructional design and provide targeted support to learners.
• Intelligent tutoring systems: AI-based tutoring systems can provide personalized feedback, tips, and support, allowing students to learn from their mistakes and deepen their understanding of concepts.
These systems can also adapt teaching methods to ensure the most effective learning experience.
Better communication and collaboration: AI-driven platforms can facilitate seamless communication between students and faculty, break down geographical barriers and provide diverse opportunities for collaboration and engagement.
Given the many benefits that AI brings to education, developing intelligent learning applications has the potential to have a significant impact on learners and educators around the world.
Choosing the Right AI Application Builder
Developing intelligent learning applications can be complex, but choosing the right AI application builder can make your task much easier.
There are several platforms that offer application building services, but not all are able to handle the complexities and requirements of AI-driven learning applications.
There are a few factors to consider when choosing an AI application builder:
Intuitive user interface: Application builders should provide a user-friendly interface to simplify the application development process.
Drag and drop features and other visual aids can make application layouts, workflows, and interaction designs more manageable for both technical and non-technical users.
• AI Integration: Ensure application builders support integrated AI technologies such as machine learning models, natural language processing (NLP), and computer vision.
This is essential for personalization, analytics, and automation in learning applications.
Scalability: As the user base of the application grows, so does its resource requirements.
Choose an application builder that allows you to deploy scalable applications that can handle increased data processing and user traffic without compromising performance.
• Data management and security: Your learning applications will handle sensitive student data, making data security a top priority.
Application builders should provide robust data management and security features to protect users ’ data from unauthorized access, corruption, and other threats.
Flexibility and customization: The best AI app builders provide design flexibility that allows you to create custom app features, workflows, and data structures to meet the unique requirements of your learning application.
Support for multiple platforms: Your learning app should be accessible on a variety of platforms, including web, Android, and iOS devices.
The AI application builder you choose should support cross-platform development and deployment, ensuring that your users have a seamless experience no matter which device they prefer.
Documentation and support: Comprehensive documentation, tutorials, and customer support can greatly improve your app building experience.
Choose a platform that offers ready-made guides and resources to help you effectively build and maintain intelligent learning applications.
By considering these factors and evaluating your application development needs, you can choose the right AI application builder platform to simplify and streamline the development process, enabling you to create superior intelligent learning applications.
How to Create Smart Learning Apps with AI App Builder
Creating a smart learning application with an AI application builder involves several steps to ensure that your application is efficient, user-friendly, and meets the needs of educators and learners.
Here are the main steps to follow:
1.
Define purpose and target audience: Determine the main purpose of the application, such as assisting with language learning, math, or exam preparation.
Identify your target audience by considering age groups, learner skill levels, and educational background.
2.
Choose the right AI application builder: Choose an AI application builder that supports building intelligent learning applications, has an easy-to-use interface, and offers AI-enabled features such as natural language processing and machine learning capabilities.
Consider a no-code platform like AppMaster, which simplifies application development.
3.
Create responsive and intuitive UI / UX designs: Design user interfaces for a variety of screen sizes and devices, such as smartphones, tablets, and web browsers.
Optimize UI / UX for ease of use and ensure smooth navigation, attractive visuals, and an engaging experience.
4.
Integrate AI-powered capabilities: Leverage AI technologies such as natural language processing, machine learning, and speech recognition to create personalized learning experiences, analyze user data, and deliver adaptive content based on learner performance and preferences.
5.
Build back-end infrastructure: Develop back-end systems that support scalable server architectures, secure data storage, and seamless communication between application components.
Visualize the development backend via the drag-and-drop interface using the AppMasterno-code platform.
6.
Integration of third-party tools and APIs: Enhance application functionality by integrating external tools such as payment gateways, chatbots, and analytics services.
Use the AppMaster API to simplify integration and ensure smooth interoperability between application components and external services.
7.
Test and optimize applications: Thoroughly test and optimize application performance, availability, and reliability.
Identify performance bottlenecks, fix bugs, and enhance user experience through iterative testing and optimization.
8.
Publish and Deploy: After testing and finalizing an app, publish it to an app store such as Google PlayApp Store or deploy it as a web app.
Release applications with minimal effort using AppMaster ’ s seamless deployment capabilities.
9.
Monitoring and Updates: Continuously monitor user feedback and usage metrics to identify areas for improvement, update according to user needs, and roll out new features to keep users engaged and enhance the learning experience.
AppMaster: Comprehensive No-Code Tool for AI Application Development
As a powerful no-code application creation tool, AppMaster simplifies the process of developing AI-driven intelligent learning applications.
With AppMaster, you can design backend, web, and mobile applications intuitively with an intuitive drag-and-drop interface.
AppMaster also offers a wide range of customization options that enable developers to create unique and engaging learning experiences without having to write a single line of code.
Some of the key benefits of using AppMaster for AI application development include:
Visual Backend, Web, and Mobile Application Development: AppMaster ’ s visual design environment automates complex tasks through a simple drag-and-drop interface, eliminating manual coding and accelerating application development.
• Customizable Business Processes and APIs: AppMaster enables you to design custom business processes with its powerful Business Process Designer and build a wide range of APIs for seamless integration with external tools and services.
Secure and Scalable Infrastructure: Build applications using a robust back-end architecture to ensure security, scalability, and high performance.
With AppMaster, you can deploy applications to the cloud or host them locally using source files or binaries.
• Efficient collaboration and rapid development: AppMaster simplifies collaborative application development, enabling teams to collaborate efficiently and quickly test their applications with auto-generated applications and open API documentation.
With its wide range of features and capabilities, AppMaster enables professional and citizen developers to easily create scalable and engaging AI-driven intelligent learning applications.
Key Features Included in Smart Learning Applications
To create a successful AI-driven intelligent learning application, consider including the following key features:
Personalized content: Utilizing AI algorithms to analyze user data and behavior, enabling applications to deliver customized learning experiences and content based on individual learner preferences and performance.
• Adaptive Learning Path: Integrate AI-driven adaptive learning systems that automatically adjust learning cadence and content based on learner progress and understanding to ensure the best learning experience for each user.
• Analysis and Reporting: Provides detailed analysis and reporting tools to help educators and learners gain insight into performance, progress, and areas for improvement.
Combined with machine learning, continuous improvement and adaptation based on user data.
Gamification elements: Incorporate gamification elements such as rewards, badges, and leaderboards to motivate users and increase engagement while learning.
Leverage artificial intelligence and machine learning to provide personalized feedback and suggestions for improvement.
• Chatbots and voice assistants: Integrate AI chatbots and voice assistants that support natural language processing to help learners answer questions, provide explanations, and provide personalized learning support.
• AR / VR capabilities: Use augmented reality (AR) and virtual reality (VR) technologies to create immersive, interactive learning experiences that allow students to visualize complex concepts and interact innovatively with learning materials.
Collaboration tools: Seamless communication and collaboration between educators, learners, and peers through integrated messaging systems, forums, and project management tools.
• Security and privacy: Implement robust security measures and data protection practices to protect user data and privacy and ensure a safe and trusted learning environment.
By integrating these capabilities and leveraging the power of AI app builders like AppMaster, you can create a compelling, user-centric intelligent learning app that revolutionizes the way students learn and engage with educational content.
Examples of AI Driven Intelligent Learning Applications
There are a number of well-known AI learning applications that have had a significant impact on the education industry.
These applications demonstrate how AI can enhance a student ’ s learning experience by providing personalized content, adaptive learning paths, and sophisticated analytics.
Here are some examples:
1.
Duolingo: Duolingo is a language learning platform that offers personalized courses to help learners develop language skills effectively and efficiently.
It uses AI-driven algorithms to customize lesson plans, measure learners ’ abilities, and adjust content based on users ’ progress.
Its intelligent chatbot function can simulate conversations with native speakers, helping learners practice and improve conversation skills.
2.
Brainly: Brainly is an online learning platform where millions of students collaborate and help each other answer questions related to various subjects.
AI algorithms analyze questions from students, match them to relevant topics, and connect them to students or experts who can provide the most appropriate solution.
This AI-driven approach makes Brainly a popular and reliable resource for academic support.
3.
Quizlet: Quizlet is a learning platform designed to help students prepare for exams by offering interactive learning sets, practice quizzes, and learning games.
It uses AI to analyze each user ’ s learning patterns, curate personalized content, and implement adaptive learning systems to improve learner engagement and performance.
4.
Socratic by Google: Socratic is an AI-driven educational app that provides students with guidance and support in specific disciplines.
It uses advanced AI models to analyze complex problems, identify basic concepts, and plot steps to interpret resources and solve problems.
Socratic ’ s intelligent search capabilities make it a valuable tool for students seeking clarification on a variety of topics.
5.
Thinkster Math: Thinkster Math is an iPad app that combines AI-driven technology and human expertise to provide students with personalized math tutoring.
The app ’ s artificial intelligence algorithms assess how students learn and progress, and tailor the curriculum accordingly.
It also provides in-depth analysis and feedback, enabling parents and tutors to monitor students ’ improvement and understanding of mathematical concepts.
These AI-driven learning applications exemplify the potential of AI in enabling personalized and efficient education.
By harnessing the power of AI, educators and developers can create a new generation of innovative learning solutions.
Final thoughts
Creating intelligent learning applications using AI application building tools such as AppMaster can revolutionize the education industry by providing personalized, engaging, and effective learning experiences.
As we have seen, AI-driven learning applications enable customized content delivery, adaptive learning systems, advanced data analytics, and enhanced communication between educators and students.
AppMaster ’ s comprehensive no-code platform simplifies the development of AI-driven learning applications, providing visual design capabilities for back-end, web and mobile applications in addition to drag-and-drop tools and customizable business processes.
These capabilities enable developers to focus on integrating the advanced AI capabilities needed to create truly intelligent learning applications, transforming the way students learn and interact with educational content.
Take the first step in designing intelligent learning applications by exploring AppMaster ’ s powerful no-code platform and contributing to shaping the future of education.
Can AppMaster be used to create intelligent learning applications with AI capabilities?
AppMaster is a versatile no-code platform that enables educators and instructional designers to create intelligent learning applications without the need for extensive coding skills.
It offers a range of AI-driven components and capabilities, making it a valuable tool for developing interactive and personalized learning experiences.
How can AI app developers enhance the learning experience?
AI application developers can analyze individual students ’ learning patterns and adjust content to suit their progress and preferences.
This leads to a more engaging and effective learning experience.
Can AI app builders be used in formal educational settings, such as schools and universities?
Yes, AI app builders are valuable tools for educational institutions.
They can be used for classroom learning or e-learning platforms and are suitable for a variety of educational environments.
What is an AI app builder and how does it relate to intelligent learning apps?
An artificial intelligence application builder is a tool that utilizes artificial intelligence to simplify the application creation process.
When applied in the field of education, these builders can develop intelligent learning applications that deliver personalized, interactive, and adaptive learning experiences.
What are the main features of the AI Application Builder used to create intelligent learning applications?
Features may include natural language processing, machine learning, personalized content delivery, analytics that track student progress, and the ability to create interactive quizzes, games, or simulations.
Are AI app builders suitable for all types of learning applications?
AI application builders are versatile and can be used for all types of learning applications, from language learning to math and science education.
They excel in scenarios where personalized learning is essential.
Related posts
Engaging Audience: No Code Firebase Cloud Messaging
Explore the world of Firebase Cloud Messaging and learn how to integrate it into your no-code application with AppMaster for better user engagement and notification management.
How do I customize the application UI with the Code-Free Application Designer?
Learn how to effectively customize your application ’ s user interface with no-code application designers while focusing on user experience and productivity.
Learn how AppMaster can help.
Is Firebase Real-Time Database the right choice for real-time data synchronization?
Explore the pros and cons of Firebase ’ s real-time database, its key features, and alternatives to real-time data synchronization in web and mobile applications.
Start for free
Are you inspired to try it yourself?
The best way to learn about the power of AppMaster is to experience it firsthand.
Free subscription, make your own app in minutes
Turn your ideas into reality

The effective integration of voice cloning technology into language instruction depends on balancing its benefits and risks.

Instructors are trained to integrate voice cloning technology.

Instructors are trained to integrate voice cloning technology.

Instructors are trained to integrate voice cloning technology.