Voice cloning technology can replicate a person's voice using a short sample, as little as 3-15 seconds, to create a deepfake audio clip.

This technology uses AI and deep learning to replicate a person's voice.

AI systems analyze data to make predictions, and voice cloning uses machine learning to simulate anyone's voice.

Voice cloning requires specific voice data and can be done with minimal technical knowledge and cost using AI tools available online.

Algorithms in voice cloning technology mimic the human brain and, thanks to AI development, now require less audio material to reliably clone a voice.

OpenAI's text-to-speech tool can generate natural-sounding human voices with just 15 seconds of audio input.

ElevenLabs' AI voice cloning tool can create realistic, multi-language voice personas almost indistinguishable from the original speaker.

The tool requires a three-second sample clip and some text, with longer clips yielding better results.

Clonemyvoice.io uses AI to create accurate voiceovers that maintain the speaker's original tone.

The platform creates a voiceover by processing a user-provided voice sample and text, for applications like podcasts, presentations, and social media.

AI dubbing improves content accessibility, preserves emotional depth and cultural nuances, and has advanced with voice cloning technology to create realistic digital voice replicas.

This technology uses machine learning to clone a person's voice from just seconds of audio, with vast applications in entertainment, accessibility, and education.

The tool can create realistic multi-language character voices and improve accessibility, as seen in Apple's "Personal Voice" feature, which clones a user's voice for conversations.

AI voice clones have been used for scams and a new bill aims to protect musical artists from the technology.

The NO FAKES Act would require artists to authorize AI use of their voice or image, establishing a federal framework to protect their rights amidst the ethical and legal challenges of voice cloning technology.

Voice cloning technology raises ethical concerns and falls under the Telephone Consumer Protection Act (TCPA), according to the Federal Communications Commission (FCC).

The creation of virtual singers using voice cloning technology raises copyright issues and disrupts the voice acting industry, as it replicates voices without permission and creates digital voices that can speak in multiple languages.

The development of voice cloning technology requires responsible management to prevent harm and realize its benefits, including improved content accessibility and enhanced interaction for individuals with speech impairments.

To protect oneself from voice cloning scams, experts recommend verifying caller identity through alternative means, not sharing personal or financial information in unsolicited calls, and being cautious with links and downloads that can hack into one's phone.

ElevenLabs respects creators' rights, protects intellectual property, and trains AI models on diverse datasets to capture language nuances.

Best practices for using AI voice over generators include keeping the program up to date, customizing settings, and seeking input from native speakers to ensure cultural appropriateness.

Voice AI tools can support foreign language instruction by developing listening comprehension and refining pronunciation through interactive conversations.

AI-driven language learning platforms can utilize multiple large language models to understand users' speech and guide improvements.

Training LLMs on a platform's own data and incorporating voice-based learning can improve voice AI accuracy, pronunciation, and fluency.

Voice AI tools can help users develop conversational skills in a foreign language, but may need to be supplemented with other learning sources to achieve mastery.

Voice AI tools can benefit low-proficiency language learners by developing their listening comprehension skills.

Integrating AI tools into the curriculum requires institutional support and can help create a personalized learning environment for all students, including those with disabilities.

Low-code AI platforms can create personalized learning platforms and automatic grading systems, reducing teacher workload and providing instant student feedback.

AI-powered chatbots and platforms like EZTalking provide 24/7 support and assess pronunciation to aid students.

The Voice Control for ChatGPT extension allows users to practice foreign language skills and train listening comprehension by conversing with ChatGPT using voice input in the target language.

To generate realistic listening materials at low proficiency levels using voice cloning, prioritize quality platforms with precise voice reproduction.

Advanced AI voice over generators can create emotionally and culturally appropriate speech by considering nuances and cultural subtleties.

When using AI voice over generators, choose platforms that prioritize user data security to keep converted material private.

Voice cloning technology has improved significantly, enabling anyone to create believable audio and leading to a surge of fake content online.

Social media companies struggle to regulate AI-generated audio due to difficulties in detection and limited safeguards against voice cloning misuse.

AI voice cloning technology generates lifelike digital replicas of human voices, making content more accessible to broader audiences, including non-native speakers.

AI dubbing can preserve emotional depth and cultural nuances, making content more accessible and engaging for global audiences.

The authenticity of AI-generated audio depends on replicating human voices and nuances, which clonemyvoice.io achieves through its AI-based voiceover creation platform.

ElevenLabs' AI tool can clone voices with a 3-second sample, making them say anything in multiple languages, and handle long content for various applications.

Deepfake technology can be detected by looking for inconsistencies in audio or video, such as mismatched lip movements or unclear and incoherent audio.

Evaluating voice cloning technology requires prioritizing output quality and the ability to adjust tone, pace, and accent for authentic audio.

OpenAI's text-to-speech tool generates natural-sounding human voices using 15 seconds of audio and text input, aiding in creating culturally relevant audio materials.

The quality and authenticity of voice cloning technology can be evaluated by assessing naturalness, realism, and diversity of accents and voices.

Voice cloning technology can be evaluated by its ability to preserve the original voice's nuances, and neural networks can help generate high-quality synthetic voices.

A 3-second high-quality audio sample can be used to create a digital voice clone that can speak any words and express emotions in the same language.

To generate realistic listening comprehension materials, prioritize quality platforms with precise voice reproduction and adjust tone, pace, and accent for genuine discourse.

Advanced AI voice over generators can translate text to speech, considering nuances and cultural context, and adjust parameters like pace and pitch for realistic results.

The use of voice cloning technology raises ethical challenges and has various applications, but its development and use must be carefully considered to avoid potential risks.

Integrating voice cloning technology into foreign language instruction can support listening skills at low proficiency levels, requiring optimized curriculum design, teacher training, and student assessment.

AI voice over generators and voice cloning technology can support foreign language instruction and bridge language gaps.

Student assessment and curriculum design should be adapted to account for AI voice over generators, considering their impact on learning outcomes, language proficiency, and cultural context.

The Voice Control for ChatGPT extension supports over 20 languages and allows users to practice foreign language skills by conversing with ChatGPT using voice input.

Educators can evaluate voice cloning technology's effectiveness in improving low-proficiency listening skills by measuring student comfort and understanding with and without noise suppression.

Evaluating voice cloning technology should consider audio quality, speech intelligibility, and user comfort, and can provide immediate feedback to diagnose and reduce misconceptions.

Educators can evaluate the effectiveness of voice cloning technology using metrics like student engagement and learning outcomes, prioritizing audio quality over quantity.

AI voice over generators can evaluate and improve listening comprehension skills by providing realistic speech in various languages and nuances.

The effectiveness of voice cloning technology can be measured by tracking student progress through benchmarks like listening comprehension tests and quizzes.

Voice cloning technology can enhance education by providing personalized learning experiences, improving outcomes, and allowing for effective evaluation through student feedback and self-assessment.

Voice cloning technology can replicate a person's voice using a short sample, as little as 3-15 seconds, to create a deepfake audio clip.

Title:

Content: Aug 31, 2022

Now, software can replicate your boss’s voice and tell you what to do

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"Deepfake" audio technology is here, and scammers are taking advantage.

If you’re listening to or have already listened to the beginning of this episode, you probably noticed that the voice introducing Kimberly Adams sounded a bit off, right?

That’s because it’s an audio “deepfake,” and it was created by Yisroel Mirsky at the Offensive AI Research Lab through a process called voice cloning.

It uses software to study a short sample of someone’s voice and create a deepfake, which in this case took only 15 seconds to generate, according to Mirsky.

It’s far from a perfect replica, but it turns out that scammers recently started to use deepfake audio for telephone scams and in some cases have succeeded.

Marketplace’s Kimberly Adams recently spoke with Kyle Alspach, a cybersecurity reporter with Protocol, about how the tech behind audio deepfakes works and how they’re being used in phone scams. The following is an edited transcript of their conversation.

Kyle Alspach: The technology involves having [artificial intelligence], deep learning, and it takes an audio sample of someone’s voice. It can be as little as three seconds, and it trains itself on the way that this person sounds. And it creates a model that can then be used to replicate that person’s voice. The current way that it works is you have to use text to speech, which is just you type in a phrase, and then it speaks using the cloned voice.

Kimberly Adams: How are these audio deepfakes being used in scams?

Alspach: So they’re, at least we know, being used to target businesses at this point, especially larger businesses. Someone will call up pretending to be someone else with someone else’s voice, typically some kind of executive or someone’s boss, and ask them to transfer funds or ask them for password credentials, that kind of thing. And in some cases, they have been successful.

Adams: Do you have a sense of how common audio deepfakes are now? And where do experts in the industry see it going?

Alspach: You know, among the larger businesses, I think more and more of them are starting to see these because they’re really ripe targets for this kind of thing. But right now, I don’t think that it’s something that a lot of people are seeing, but it is the beginning of this kind of technology being used in this way.

Adams: What do cybersecurity experts suggest that regular people or businesses do to avoid falling for these deepfake audio scams?

Alspach: For business purposes, for instance, if you’re going to transfer money, you might want to add some additional steps to that process and involve someone saying some kind of challenge phrase or something like that, that everyone’s agreed on beforehand, [to] prevent that from happening. But the biggest thing is just to be aware that it might happen to you and to pay attention when someone calls you up and make sure that it actually sounds the way you would expect, and they are asking you for things that they normally would be asking you for. It’s really at this point kind of a low-tech approach to defending against this kind of thing. But really, it’s just creating the possibility in your mind of this happening. And I guess, unfortunately, you kind of have to become more skeptical now when people call you up.

You can read more of Alspach’s reporting on audio deepfakes here.

Yisroel Mirsky told us that the tech he used to generate the deepfake audio for Alspach’s article, and for our show, is “relatively old.”

Alspach also mentioned in his piece that there is an open-source voice cloning tool online that anyone — even scammers can download and potentially use.

But as we found out, getting that software to work isn’t a simple process of downloading and hitting the Install button.

Tech barriers can stop you at a number of steps in the process. Like, if you don’t know the coding language Python or if your computer isn’t powerful enough, you’ll likely be unable to use it, as our producer Daniel Shin discovered.

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As part of a nonprofit newsroom, we’re counting on listeners like you to keep this public service paywall-free and available to all.

Support “Marketplace Tech” in any amount today and become a partner in our mission.

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What is necessary for voice cloning to work?

This technology uses AI and deep learning to replicate a person's voice.

AI systems analyze data to make predictions, and voice cloning uses machine learning to simulate anyone's voice.

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.

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  • 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.

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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.

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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

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Voice cloning requires specific voice data and can be done with minimal technical knowledge and cost using AI tools available online.

What is necessary for voice cloning to work?

Algorithms in voice cloning technology mimic the human brain and, thanks to AI development, now require less audio material to reliably clone a voice.

Title:

Content: That’s how easily your vote can be stolen – and used for AI fraud

The person on the phone sounded exactly like Ruth Card’s grandson Brandon.

He needed money fast and Ruth, recognizing his voice, went to the bank.

Benjamin Perkins’ parents received a call from a man who said he was a lawyer. Benjamin was alleged to have killed another man and needed bail money. The lawyer handed the phone to someone – who sounded exactly like Benjamin.

In both cases, as Washington Post reported on, it involved a new form of fraud – voices cloned using artificial intelligence.

“Impossible to imagine a year ago”

In the past, large amounts of audio material were required to be able to reliably clone someone’s voice, but AI development is going at a breakneck pace – now it’s faster, easier and more accessible than before.

– What was impossible to imagine a year ago is free today. The companies that make and sell AI want a lot of data – that’s why they give away their services, says Tobias Falk, lecturer at the department of computer and systems science at Stockholm University, to SVT Nyheter.

“Having reached a point where the machines can imitate us”

– Algorithms are trained to imitate how the human brain works. It’s going really fast now, but it’s taken decades to get to the point where the machines can mimic us as well as they do today.

The police’s national fraud center writes in an email to SVT Nyheter that they are “aware of the phenomenon” but that they have not seen any cases in Sweden at the moment. “We monitor this and have communication with international contacts,” writes the police spokesperson.

How many seconds long clip is enough to be able to clone someone’s voice? And how well does it actually work in Swedish?

Watch the video above for our test.

What is necessary for voice cloning to work?

OpenAI's text-to-speech tool can generate natural-sounding human voices with just 15 seconds of audio input.

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Speech cloning raises concerns, OpenAI again explains its text-to-speech tool
2024 / 6 / 10 9: 57: 21 Source: IT House Author: Yuanyang Editor: Yuanyang
OpenAI explained its text-to-speech tool for the second time in a few months, and again stressed that the tool is not currently widely available and may not be available in the future.
“Whether or not we end up deploying this technology at scale, it ’ s important for people around the world to understand where it ’ s going, ” OpenAI said in a statement on its website Friday.“ That ’ s why we want to explain how the model works, how we use it for research and education, and how we implement security measures around the technology. ”
At the end of last year, OpenAI shared its “voice engine ” with a small number of external users.
The engine uses text input and a 15-second clip of human voices to “generate a natural sounding human voice that is very similar to the original speaker. ”
The tool could create fake, multilingual human voices, and the company said at the time that it had chosen to preview the technology rather than launch it at scale to “enhance social resilience ” to the threat posed by“ increasingly realistic artificial intelligence-generated models. ”
As part of these efforts, OpenAI says it is actively phasing out ways to use voice recognition for bank account verification, exploring policies to protect individual voices for use in AI, educating the public about the risks of AI, and accelerating the development of technologies to track audiovisual content so users can identify whether they are interacting with real people or synthetic content.
However, despite these efforts, concerns about the technology remain.
Bruce Reed, the head of artificial intelligence for US President Joe Biden, has said that voice cloning is one of the reasons he can't sleep at night.
The Federal Trade Commission said in March that scammers were using AI technology to increase the credibility of their fraud, using voice cloning tools that make it harder for people to distinguish between AI-generated voices and human voices.
“We continue to engage with U.S. and international partners from government, media, entertainment, education, civil society, and more to ensure we incorporate their feedback in the build process, ” the company also noted, once the“ Voice Engine ” is equipped with its latest model, GPT-4o, it will also bring new threats.
The company says it is actively “conducting ‘ red team testing ’ on GPT-4o to identify and address known and unknown risks from areas such as social psychology, bias and fairness, and misinformation. ”
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What is necessary for voice cloning to work?

ElevenLabs' AI voice cloning tool can create realistic, multi-language voice personas almost indistinguishable from the original speaker.

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.”

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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.

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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.

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

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

Difficult to distinguish from human voice

The tool requires a three-second sample clip and some text, with longer clips yielding better results.

Clonemyvoice.io uses AI to create accurate voiceovers that maintain the speaker's original tone.

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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.
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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.
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The platform creates a voiceover by processing a user-provided voice sample and text, for applications like podcasts, presentations, and social media.

What is necessary for voice cloning to work?

AI dubbing improves content accessibility, preserves emotional depth and cultural nuances, and has advanced with voice cloning technology to create realistic digital voice replicas.

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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
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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.

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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.

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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.

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

This technology uses machine learning to clone a person's voice from just seconds of audio, with vast applications in entertainment, accessibility, and education.

Title:

Content: OpenAI's Johansson gaffe pushes voice cloning into spotlight

Law enforcement warned that AI clones could be used to extort money from loved ones over the phone

By AFP

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Scarlett Johansson voiced an AI character in the film "Her". — Reuters file

Published: Mon 27 May 2024, 7:51 PM

Last updated: Mon 27 May 2024, 7:52 PM

OpenAI was forced to apologise to actor Scarlett Johansson last week for using her voice -- or something very similar -- on its latest chatbot, throwing the spotlight on to voice-cloning tech.

Although OpenAI denied the voice they used was Johansson's, their case was not helped by CEO Sam Altman flagging the new model with a one-word message on social media -- "Her".

Johansson voiced an AI character in the film "Her", which Altman has previously said is his favourite film about the technology.

Right from the start, AI voice cloning has proved problematic.

Last year, British firm Elevenlabs went viral for all the wrong reasons when it released its voice-cloning software.

Internet pranksters immediately began pushing out deepfaked celebrities -- Harry Potter star Emma Watson was shown reading Hitler's Mein Kampf.

Law enforcement warned that AI clones could be used to extort money from loved ones over the phone.

The technology has developed rapidly in the past year becoming far more realistic and nuanced.

Danish entrepreneur Victor Riparbelli, CEO of British AI firm Synthesia, told AFP it was largely down to a program called Tortoise that was released two years ago.

The program's developers threw thousands of hours of voice data into their model in an unstructured way and discovered it not only learnt what to say but how to say it.

"That was a pretty big paradigm shift," Riparbelli said on the sidelines of last week's VivaTech conference in Paris.

Tortoise was an open source program and Elevenlabs was the first to go to market using it.

OpenAI uses similar systems though they do not release any details.

Much of the controversy around voice cloning has focused on concerns over people misusing the software.

But the claim against OpenAI is unusual because it is the company itself accused of playing fast and loose.

"It was very unfortunate that OpenAI did that -- really not very good," Katya Laine, CEO of TALKR.ai, told AFP at VivaTech.

"If they actually cloned her voice without her knowing then I think that's very very bad," said Riparbelli.

The two entrepreneurs are among hundreds harnessing AI voice programs for uses that they argue will make companies more efficient.

Laine's firm provides virtual voice assistants -- essentially AI customer service agents.

She said her firm's system could now resolve 25 to 30 percent of calls without any human involvement.

Synthesia specialises in video avatars, which Riparbelli said allowed any office worker to turn text or slides into a video performed by a realistic AI.

Both Riparbelli and Laine allow their clients to use their own avatars, off-the-shelf products or those supplied by the likes of OpenAI and Elevenlabs.

Riparbelli said Synthesia used actors whose likenesses and voices were licensed for two years with an option to renew after the initial period.

The problems arise if actors' voices are used without their consent.

The fiasco overshadowed a developer conference in Paris last week when OpenAI was showing off a suite of new tools.

In front of a big screen in an auditorium, Romain Huet, OpenAI's Head of Developer Experience, breezily chatted into his phone.

Seconds later, his short voice sample had been processed and could be heard commentating over a generated video -- in five languages.

The demonstration showed how quickly the field is moving, but the headlines had already been written.

The Washington Post asked in a newsletter "How dumb is OpenAI?", other commentators were suggesting wunderkind Altman was nothing more than a huckster.

Nonetheless, Riparbelli was open to OpenAI's argument that they had used another actor who just sounded liked Johansson.

"If it's not her but someone who sounds a lot like her... where do you draw that line," Riparbelli asked.

"If they're not allowed to use someone who sounds a lot like her, then it sets a very odd precedent."

More news from World

What is necessary for voice cloning to work?

The tool can create realistic multi-language character voices and improve accessibility, as seen in Apple's "Personal Voice" feature, which clones a user's voice for conversations.

Title:

Content: APPLE
iPhone phones will be able to mimic your voice for conversations
Apple launches unique features on iPhones for people with cognitive disabilities
Posted in: Last Updated:
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Later this year, Apple will enable iPhone and tablet users with cognitive disabilities to deal more easily and independently with Assistive Access by launching a feature that makes speech impaired from speaking through its apps or voice calls on its devices.
It is expected that the new feature will enable individuals who do not speak in writing to speak during calls and conversations using Live Speech; people at risk of losing their ability to speak can also use their personal voice to create a composite sound similar to them to communicate with family and friends.
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For users who are blind or have poor vision, Magnifier mode offers Point and Speak, which identifies text that users point to and read aloud to help them interact with physical objects such as home appliances, Apple announced on Tuesday.
The iPhone and iPad will learn the user ’ s voice after training the device for just 15 minutes.
The Live Speech feature will then use Composite Audio to read a user ’ s written text aloud during phone calls, FaceTime conversations, and even in-person conversations.
People will also be able to save commonly used phrases to use during live conversations.
This feature is one of several that aim to make Apple devices more inclusive for people with impairments in cognition, vision, hearing and movement.
Apple has said that people who may experience situations where they lose their voices over time, such as ALS (ALS), could benefit more from the tools.
Apple ’ s senior director of global access policies and initiatives, Sarah Herlinger, said in a blog post: “Accessibility is part of everything we do at Apple. ”
“These groundbreaking features are designed with feedback from members of disability communities at every step of their development, to support a diverse range of users and help people connect in new ways. ”
The new features are due to be rolled out later this year.
While these tools have the potential to meet a real need, they also come at a time when advances in AI have raised alarms about bad actors using convincing fake audio and video – known as “deep fakes ” – to defraud or mislead the public.
In a blog post, Apple said the Personal Voice feature uses “machine learning on the device to keep users ’ information private and secure. ”
Other tech companies have experimented with using artificial intelligence to replicate sound.
Last year, Amazon said it was updating its Alexa system that would allow the technology to imitate any sound, even if a family member is deceased.
(The feature has not yet been launched.)
In addition to voice features, Apple announced Assistive Access, which combines some of the most popular iOS apps, such as FaceTime, Messages, Camera, Photos, Music, and Phone, into a single call app.
Apple is also updating its Magnifier app for the blind.
It will now include detection mode to help people better interact with physical objects.
The update will allow someone, for example, to hold an iPhone camera in front of the microwave and move their finger through the keyboard while the app labels and advertise the text on the microwave buttons.
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What company provided an update that would create the precise imitation of a user's voice to read texts?

AI voice clones have been used for scams and a new bill aims to protect musical artists from the technology.

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Content: Moving at rapid speed, the Federal Communications Commission (FCC) has just announced its unanimous adoption of a new Declaratory Ruling finding that voice calls using artificial intelligence (AI)-generated voices fall under the Telephone Consumer Protection Act (TCPA).

The ruling takes effect immediately and gives state attorneys general powerful new tools to go after voice cloning scams. Under FCC rules, telemarketers that use robocalls subject to the TCPA are required to obtain prior express written consent from the consumer unless an exemption applies. The TCPA has always prohibited the use of both prerecorded and artificial voices but advances in AI-generated voices have prompted the FCC to specifically address their use.

In recent years, scammers and other parties have begun using AI to create fake and even "cloned" artificial voices, including those of celebrities, politicians, and even a call recipient's family member. In this election season, there has been increasing concern about the use of voice clones to engage in voter suppression schemes.

Concerned about the potential malevolent uses of these AI-generated voice calls, the FCC issued a Notice of Inquiry (NOI) in November on the topic of "Implications of Artificial Intelligence Technologies on Protecting Consumers from Unwanted Robocalls and Robotexts." In the NOI, the FCC asked questions regarding the use of "AI-influenced" technologies in robocalling. A coalition of 26 state attorneys general, as well as a telecommunication carrier trade group, strongly urged the FCC to take action to give the attorneys general clear authority to act against AI-generated robocall violators.

The FCC now has made clear that the use of voice cloning in telephone calls and texts falls within the FCC's statutory authority under the TCPA. A major intent of the ruling is to communicate that the TCPA "does not allow for any carve-out of technologies that purport to provide the equivalent of a live agent, thus preventing unscrupulous businesses from attempting to exploit any perceived ambiguity in our TCPA rules."

As FCC Chairwoman Jessica Rosenworcel explained, "with this Declaratory Ruling, we will have another tool to go after voice cloning scams and get this junk off the line."

The content of this article is intended to provide a general guide to the subject matter. Specialist advice should be sought about your specific circumstances.

The NO FAKES Act would require artists to authorize AI use of their voice or image, establishing a federal framework to protect their rights amidst the ethical and legal challenges of voice cloning technology.

Title:

Content: The Future Is Here
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AI This Week: Can AI's Environmental Impact Be Justified?

A new report shows the massive energy needs of AI systems. Plus: a look at how the music industry is fighting AI voice clones.

We may earn a commission from links on this page.

Headlines This Week

  • A new report from Politico suggests a “billionaire-backed network” of Silicon Valley-linked AI “advisors” are working to control the regulatory agenda in Washington D.C. Boy, I sure wish stuff like that were illegal instead of just business-as-usual.
  • Despite apparently having lobbying money aplenty, it looks like the AI industry is still struggling to monetize some of its platforms. The Wall Street Journal reports that some major AI platforms, like Microsoft’s Github Copilot, have been hemorrhaging money.
  • Last but not least: A newly introduced draft bill would institute protections for musical artists against AI. We spoke with a music industry executive about what the policy could mean for his business.

The Top Story: AI’s Growing Environmental Impact

One of the ongoing problems connected to the AI industry is just how much power it takes to run its systems. The pursuit of enough juice to run the high-octane algorithms behind apps like Bard, Bing, and ChatGPT is causing concern even among AI’s biggest proponents. Now, a new study shows the electrical resources needed for the growing AI industry could make its environmental impact even worse than previously thought.

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The study, authored by Alex de Vries, who is a PhD candidate at the VU Amsterdam School of Business and Economics, claims that the AI industry’s energy needs may soon match those of a small country. “Given the expected production in the coming few years, by 2027 newly manufactured AI devices will be responsible for as much electricity consumption as my home country, the Netherlands,” de Vries told Insider this week. “This is also in the same range as the electricity consumption of countries like Sweden or Argentina.”

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While the rate of electricity consumption in the tech industry has remained relatively steady for years, de Vries says that the advent of the AI chatbot wars between tech giants like Microsoft, Google, and OpenAI, may have spawned a new era. De Vries’ study looks specifically at the electricity consumption of the AI sector as it applies to something called the “inference phase” of AI production. While most environmental impact studies have so far focused on the amount of energy it takes to train large language models like GPT-4, less attention has been paid to “inferencing,” which is the process by which language models produce new information as the result of prompts. This phase of energy consumption can be massive and, sometimes, accounts for a majority of energy expended during the AI life cycle, de Vries writes. Due to the potential ballooning nature of AI energy needs over the next several years, the scholar argues that developers “focus [not only] on optimizing AI, but also to critically consider the necessity of using AI in the first place.”

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De Vries’ study, like a number of other prominent environmental impact studies that have been published recently, begs the question: in an age of climate change and accelerating environmental distress, can generative AI really be justified? I mean, do we really need ChatGPT, automated email-writing, and AI stickers? Or are we killing the environment needlessly for too little in trade off?

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At best, these platforms offer increased convenience for consumers and some cost savings for corporations, but—for now—that’s about it. Much of the mystification around AI has helped hide the fact that generative AI technologies aren’t—in many cases—particularly revolutionary and, in some cases, aren’t even new. Sure, there are some novel scientific applications of AI that, once refined, could have a major impact. But it would be hard to argue that those applications are the ones getting the lion’s share of attention or resources. Mostly, it’s stuff like ChatGPT that hogs the spotlight (and venture capital).

When viewed through the lens of the technology’s massive environmental impact, it seems hard to justify what is little more than an over-hyped form of content automation. Better deepfakes aren’t worth killing the planet over.

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The Interview: Mitch Glazier on the Music Industry’s Fraught Relationship to AI

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This week we spoke with Mitch Glazier, the Chairman and CEO of the Recording Industry Association of America, which lobbies on behalf of the music industry. RIAA is supporting a newly introduced piece of legislation that seeks to institute legal protections against the use of AI to replicate the visual or audio likenesses of artists. In recent months, there’s been  an explosion of AI “deepfake” content that blatantly rips off well-known musicians and celebrities. The  Nurture Originals, Foster Art, and Keep Entertainment Safe (NO FAKES) Act, which is currently a discussion draft bill, would enshrine a number of legal protections for artists who don’t want their visual or audio likenesses used in unauthorized deepfakes. This interview has been edited for brevity and clarity.

What role did RIAA have in connection to this bill and what do you hope this bill achieves?

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We were one of several groups that were asked to give input so that they could develop the bill. SAG-AFTRA was also heavily involved. The idea was to create federal legislation because all of the protections for name, image, likeness and voice are in the states right now—and they’re all different.

What is it about AI that makes it a threat to your industry (the music business)? What’s the problem with this technology?

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The problem really isn’t the technology. AI can be licensed for a variety of great purposes and uses. The problem is when AI is made based on a particular artist’s voice or image without consent, credit, and compensation. Basically, what the bill says is, ‘The technology’s great and if an artist wants to license the use of their essence—their voice, their likeness—that’s they’re choice. But what you can’t do is clone their voice without their permission.’ It’s just a basic right that exists for all other types of property—and that should exist here. It should be up to the artist to decide whether or not they want to allow you to use their image or their voice.

So it seems like this legislation actually opens the door for more AI music but the idea is that, if a particular artist is involved in an AI or a deepfake production, they would have to get credit and, presumably, get paid, right?

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Well, the bill says “authorized,” so the artist would have to authorize it. If they want to negotiate compensation they can. Some may not want to. But the key is that “authorization” part. The author has to say, “Yes, you can use my voice, my image.” If they don’t say yes, you can’t do it.

What are your hopes for the passage of the bill? It seems like there are some pretty prominent Senators supporting it.

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We’re very optimistic. This issue goes beyond the music and entertainment industry and it goes beyond the issue of art. It relates to every individual’s right to control their own essence, for lack of a better term. We’ve been encouraged by great bipartisan support right off the bat. To get two Democrats and two Republicans—including the chairman of the Intellectual Property Subcommittee (Amy Klobuchar D-Minnesota)—to put out this discussion draft and to do it in a way in which they’re inviting people to respond and come into the conversation, is a great sign.

Catch up on all of Gizmodo’s AI news here, or see all the latest news here. For daily updates, subscribe to the free Gizmodo newsletter.

Voice cloning technology raises ethical concerns and falls under the Telephone Consumer Protection Act (TCPA), according to the Federal Communications Commission (FCC).

The creation of virtual singers using voice cloning technology raises copyright issues and disrupts the voice acting industry, as it replicates voices without permission and creates digital voices that can speak in multiple languages.

Title:

Content: People 's Daily Online > > Economy and Technology
“AI Sun Yanzi ” deceives your ears,“ AI Change Face ” wants to trick your wallet!
May 26, 2023 11: 31 | Source: People's Daily Online
Small number
Recently, there are two hot events about AI: one is the "AI Sun Yanzi" popular network; the other is the "AI Face" scam.
Two seemingly unrelated things have caused the public to think deeply about AI double-edged sword.
"AI Sun Yanzi" explodes network copyright issue caused controversy
First of all, "AI Sun Yanzi" is definitely the hottest Chinese singer in the first half of this year, followed by "AI Zhou Jielun", "AI Lin Junjie" and "AI Wang Xinling".
Before I heard that AI can arrange music and paint, now you will find that the role of big stars on the stage, AI is equally competent.
It doesn ’ t even need to be in person, the singers ’ “new album ” is already flying around.
What the hell is going on here?
It is understood that some people use the existing human voice samples of Sun Yanzi, through AI training timbre, tone quality and pronunciation characteristics, establish its sound model, and then use the generated timbre to cover other songs, there is "AI Sun Yanzi".
This uses an open source AI speech conversion software, the original author has stopped updating and maintaining this year, but there are still many netizens independently developing new features on the current version.
The enthusiasm of netizens for the creation of virtual singers implies the recognition and pursuit of emerging technologies.
As early as ten years ago, the virtual idols represented by "Hatsune Future" and "Luo Tianyi" have gradually entered the public eye, and their voices are made from real human sound source data.
With the iterative development of technology, the "real person double" virtual singer represented by "AI Sun Yan Zi" made a shining debut, "invading" is not only everyone's "childhood memories", but also some legal ambiguity.
The new songs produced by AI sound cloning technology are very similar in sound and style to the singer himself, which has led many netizens to believe that they are true.
Is this impersonation infringing?
The scope of works protected by the Copyright Law includes written works, oral works, music and fine arts, and sound is not listed.
Therefore, the mere imitation of performers' timbre, singing skills and other characteristics, does not belong to the protection of the Copyright Law.
In addition, only on a video platform, the "AI Sun Yanzi" cover works have exceeded a thousand, among which the works of the singer Zhou Jielun's "Hair as Snow" and other works have even won more than two million views.
A number of lawyers said that the works of the virtual singer's cover show the specific song name and singer's name, which is suspected of infringing on the singer's right to name, personality, and the copyright of the song.
Even if some publishers mark the disclaimer of "entertainment only and not for commercial use" in the video, the huge traffic and economic benefits behind it are difficult to be clear, and there is no way to completely discard the infringement issue.
"AI face change" fraud attack someone 10 minutes to be cheated 4.3 million
At present, Sun Yanzi himself has responded to his own "AI version" of music.
However, the concern of netizens about the application of artificial intelligence technology has not stopped.
In May, Apple announced that it plans to embed a new feature in the new version of the software: mobile phone users who have gradually lost their ability to speak for various reasons can create a unique "personal customized voice" by recording 15 minutes of audio, and can still use the phone's call and video functions normally after losing their ability to speak.
In this regard, many users expressed concern that the technology is more likely to be used by criminals, such as through the production of fake videos and audio recordings, for the implementation of telecommunications fraud.
Such fears are not unfounded.
According to the police, not long ago a Fujian boss fell into the "high-end" fraud bureau, because of the credulous use of "AI for face" fraudsters, just 10 minutes lost 4.3 million yuan.
The rapid development of AI has brought not only "unemployment anxiety", but also a new challenge to "true and false discrimination". At present.
A number of EU countries have already begun to review the issue of artificial intelligence feeding data.
In March, foreign publishers protested against the copyrighted content used by ChatGPT in data training, demanding compensation from its company OpenAI.
In China, the regulatory system of the artificial intelligence industry is also being actively improved.
At the end of last year, the State Internet Information Office issued a document requiring that when providing in-depth synthesis services such as synthetic voices, imitation voices, face substitution, and gesture manipulation, users should be prompted to inform the edited individuals according to law and obtain their individual consent; and if the synthetic content may lead to confusion or mistaken recognition, it must be marked in a reasonable position and explain the specific information of the synthetic work.
In April this year, the State Internet Information Office drafted the "Generative Artificial Intelligence Service Management Measures (Draft for Solicitation of Comments)" to clarify the data of pre-training and optimization training, and must not contain content that infringes intellectual property rights.
Producer ： Ye Zhen
General Manager: Luo Hua
Producer ： Sun Haifeng
Producer ： Zhang Feiran
Producer ： Lu Qian
Planning: Chen Jian
Copywriter: SHEN Jiaping
Photographer: Shi Xinpei
Edited by: Wang Kun
Design: Shanshan Lin
Data collation: Liu Wenjing (intern)
Title: The Salt of Money - Your Treasure
(Editor: Shen Jiaping, Lu Qian)
Public Number ： People 's Network Finance
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The development of voice cloning technology requires responsible management to prevent harm and realize its benefits, including improved content accessibility and enhanced interaction for individuals with speech impairments.

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.”

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To protect oneself from voice cloning scams, experts recommend verifying caller identity through alternative means, not sharing personal or financial information in unsolicited calls, and being cautious with links and downloads that can hack into one's phone.

Title:

Content: Dangerous techniques of artificial intelligence: "falsification of sound"..
How to protect yourself from them – Al Manar Channel – Lebanon
Lebanese Media Group
Al Manar Channel
Dangerous techniques of artificial intelligence: "falsification of sound"..
How to protect yourself from it.
You should be careful when receiving emergency phone calls, especially when you are asked to transfer money, or provide sensitive information, even if the voice is like the voice of your relatives or friends, in the age of artificial intelligence, counterfeiting surrounds people in all their matters.
Recently, a type of fraud has spread by artificial intelligence applications called "fraud counterfeiting" or "voice manipulation", but you can survive it if you pay attention to these developments, and follow the advice given by two experts in cybersecurity and information technology for the site "Sky News Arabia".
OpenAI, a specialist in generative artificial intelligence, and the creator of the popular chat program “Chat GBT, ” last March, offered a tool for voice cloning that will be limited in use to avoid fraud.
The tool, called Voice Engine, is able to reproduce a person ’ s voice through a 15-second audio sample, according to an OpenAI statement that touched on the results of a small-scale test.
“We recognize that the ability to generate human-like voices is a high-risk step, especially in this election year, ” the statement said, adding that“ we are working with U.S. and international partners from governments, media, entertainment, education, civil society and other sectors, and taking their observations into account. ”
Manipulation and loss of confidence
According to cybersecurity and information technology expert Mohammed Khleif, it has become “very easy ” to use artificial intelligence to make phone calls with sounds that sound familiar to people, and this is called“ voice counterfeiting ” or “voice manipulation. ”
On how this fake sound is made, Khalif says it is done with artificial intelligence programs to imitate known or taken sounds from social media.
One of the perils of using this counterfeiting is to defraud victims in urgent financial requests by deluding them that the caller is known to them, explains Khalif, who warns that such uses may lose confidence in the digital world, negatively affecting the pace of digital transformation.
Cybersecurity and information technology expert Tamer Mohammed calls for caution in the communications we receive, saying that “phone communications by artificial intelligence have spread very widely, and there are applications that implement them without the need for the fraudster to have experience. ”
It is worth mentioning that the frauds reached the most famous figures in the world, including that an adviser working in the presidential campaign of a rival in the Democratic Party of the US President, Joe Biden, invented during the presidential primaries, an automated program that impersonated Biden, and called the fake voice voters not to vote in the New Hampshire elections.
The voices of celebrities such as English artist Stephen Fry and London Mayor Sadiq Khan have also been cloned and attributed to them statements that caused them inconvenience or embarrassment, and one of the executives, who was not named, was exposed to fraud that caused him to transfer $243,000 to the fraudster after receiving a fake phone call, according to the British newspaper “Daily Mail ”.
How do we protect ourselves from fraud?
To counter this new threat, Mohammed Khalif and Tamer Mohammed offer these tips when receiving phone calls, or listening to voices without seeing them:
Always question the authenticity of the communication, even if the sound is familiar, especially when it seems urgent.
Try to communicate with the person who is supposed to be calling through a different means of communication that you check.
Be careful to provide personal information or financial statements during a call that you did not initiate yourself.
- Do not access the link of an account or an unknown website; because through it the phone is hacked, uses voice recordings and knows the voice of the person.
- Not to agree to the terms of any program without checking them and knowing the application well.
Source: Sky News
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ElevenLabs respects creators' rights, protects intellectual property, and trains AI models on diverse datasets to capture language nuances.

Best practices for using AI voice over generators include keeping the program up to date, customizing settings, and seeking input from native speakers to ensure cultural appropriateness.

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

Voice AI tools can support foreign language instruction by developing listening comprehension and refining pronunciation through interactive conversations.

Title:

Content: Loora, an AI-driven language learning startup focused on English, has emerged from stealth to announce $9.25 million in seed funding. The company aims to improve users' conversational English skills regardless of subject matter, using voice-based interactions with its eponymous iOS assistant.

Unlike typical generative AI apps, which are mostly text-based, Loora emphasizes audio. Users interact with the app as they would with a personal human tutor. Its AI tutor can understand and help refine any user's English and accent across a wide range of topics.

Emerge led the funding round, joined by Two Lanterns Venture Partners, Kaedan Capital, and several angel investors. Tel Aviv-based Loora was founded in 2020 by CEO Roy Mor and CTO Yonti Levin. They decided to focus on English language tuition due to its global prevalence, with over 1 billion learners worldwide.

Despite the numerous existing online language learning platforms, Mor and Levin found a gap in teaching conversational English in a one-to-one environment. Traditional language learning apps – such as Duolingo, Memrise, and Babel – are great for casual learners, but inadequate for those seeking to work in English. Human tutors offer a more personalized approach, but can be expensive and inaccessible to many.

Taking advantage of recent advancements in generative AI (like those used in OpenAI's ChatGPT and the Midjourney illustrator), Loora has developed an English tutor that engages in interactive conversations, offers discussion prompts, and understands users' speech to guide their improvements. Initially, Loora created its own large language models (LLMs) in 2020, but has since transitioned to utilizing multiple third-party LLMs, each suited for different tasks. The company trains these LLMs on its own data.

Loora's main focus is on spoken English and requires users to have some prior knowledge of the language. Although the platform does not cover reading or writing, an upcoming module will introduce reading texts as conversational anchors. Therefore, if users aim to master English, they may need to supplement their learning with other sources. Regardless, Loora's approach marks an interesting advancement in the field, with potential future implications for audio interfaces in generative AI services.

Incorporating voice-based learning experiences in the language learning domain is crucial to improve pronunciation and fluency. As the no-code and low-code movement accelerates the development of tech solutions, innovative platforms like AppMaster.io can facilitate the creation of ground-breaking applications and tools for various sectors, including language learning.

The investment by Emerge, Two Lanterns Venture Partners, and Kaedan Capital is a testament to Loora's potential to revolutionize virtual English education through its domain-specific AI tutor. It will be interesting to see how this voice-driven approach shapes the future of language learning and other generative AI applications.

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

Enhance language comprehension
Enhance pronunciation abilities

AI-driven language learning platforms can utilize multiple large language models to understand users' speech and guide improvements.

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

What is unique about Loora's AI English tutor?

understand's users' speech
guides users' improvements

Training LLMs on a platform's own data and incorporating voice-based learning can improve voice AI accuracy, pronunciation, and fluency.

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

Voice AI tools can help users develop conversational skills in a foreign language, but may need to be supplemented with other learning sources to achieve mastery.

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

Voice AI tools can benefit low-proficiency language learners by developing their listening comprehension skills.

Title:

Content: British Text to Speech & Accent Generator

Speak with Authority: British Text-to-Speech Voices for AI Driven Narrations

With a repertoire of over 40 diverse British English accents, effortlessly bring your text to speech with PlayHT`s AI voices and speech synthesis. Whether you`re creating a documentary, creating a health and safety video, or localizing your multimedia ads, convert text to voice in British English using our AI voice generator.

Download your audio files as MP3 or WAV, or access our British English AI voices through our state-of-the-art TTS API.

Excellent150+ reviews on Trustpilot
0/1,000

Trusted by individuals and teams of all sizes

34 Text-to-Speech British English Accents

Take your audience on a journey across the British Isles with cutting-edge AI voices powered by PlayHT, Amazon Polly, Google WaveNet, IBM Watson, and Microsoft Azure.

English (UK)

34 voices
These are the most realistic and natural sounding voices, built using AI and Machine Learning.
Abbi
Alfie
Anna
Bella
Charlie
Charlotte
Elliot
Emilia
Ethan
Hannah
Harry
Hollie
Isla
James
Kathy
Libby
Lily
Logan
Maisie
Noah
Oliver
Olivia
Ryan
Sonia
Thomas

High quality voices that don’t sound robotic, built using computer generated algorithms without AI.

Amelia
Amy
Brian
Emma
Isabella
Jack
Mia
Sandy
Thomas

Explore Additional English TTS Voices

How it works

How to Generate Speech with British English Text-to-Speech Voices

  • Go to the PlayHT Studio
  • Choose your voice
  • Type your text or paste your script into the TTS Editor
  • Customize the voice by adjusting the speech or pitch. Include any pauses or emphasis, if necessary
  • Click generate audio
  • Preview your generation or regenerate audio and choose your preferred generation
  • Download your audio

British English Text-to-Speech Use Cases

Curate an immersive auditory experience for your audience with PlayHT’s British English accent generator. Narrate your audiobooks, voice your e-learning modules, and get creative with your documentary voiceovers.

  • Accent Training

    Have you ever wanted to speak with a British accent? You can use our AI voices as part of your accent training. Convert your text to speech with one of our British English AI voices and use the audio as a training guide to perfect your accent.

    Create stable, reliable accent drills and exercises using any British English AI voice of your choice. Record your voice and compare your audio with audio generated by PlayHT.

    Voice
  • Documentary Voiceovers

    Inspired by David Attenborough’s clear, authoritative, yet precise documentary voiceovers? Choose one of our Ultra-realistic narrative-style British English AI voices for your documentary voiceovers. Import your video to the PlayHT studio and add the voiceover directly to your video.

    Voice
  • E-learning

    The clarity and richness of British accents make British accents the perfect choice for e-learning audio content. Whether it’s educational tutorials or corporate training modules, the crisp British English accent is a great choice for your learning materials.

    Voice
  • Language Learning

    Perfect your language skills with authentic British text-to-speech voices. Master English pronunciation, intonation, and rhythm with our ultra-realistic British text-to-speech voices. Build a dialogue simulation with multiple British accents to enhance conversational fluency.

    Voice
  • IVR Systems

    Impress callers with clear, natural sounding voice prompts with our ultra-realistic British text-to-speech voices. Whether your call center is based in the United Kingdom or you’re addressing an English speaking market, a clear, articulate voice is a must.

    Voice

Start Creating Today

Frequently Asked Questions

How many British English accents can I generate?

What is the most realistic British English accent generator?

How do I download my British English accent files?

What other accents can I generate?

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

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

Integrating AI tools into the curriculum requires institutional support and can help create a personalized learning environment for all students, including those with disabilities.

Title:

Content: Urgent.
Chairman of Wafd Party
Dr. Abdul Sindh Yamama
Chairman of the Board of Directors
Dr. Ayman is an accountant.
Editor-in-Chief
I'm sorry.
My grandfather, Zainuddin.
Chairman of Wafd Party
Dr. Abdul Sindh Yamama
Chairman of the Board of Directors
Dr. Ayman is an accountant.
Editor-in-Chief
I'm sorry.
My grandfather, Zainuddin.
Scientific conference recommends the conversion of traditional curricula to electronic commensurate with disabilities
The Sixth Annual Student Research Conference at the Faculty of Education, Suez Canal University recommended providing institutional support from universities and educational institutions for teachers and faculty members, by providing the necessary training and qualification to understand and use artificial intelligence tools efficiently and professionally.
The conference called for the provision and development of the necessary infrastructure and resources to create the appropriate environment to create an educational environment based on the use of artificial intelligence applications in the educational process in an appropriate academic manner and encourage research and development in the field of education technology and artificial intelligence applications to find innovative solutions that meet the needs of students and teachers.
The conference, which was held under the title "Artificial Intelligence in the field of education visions and future challenges"
Develop policies and procedures to protect the privacy of student and teacher data, and secure smart systems against security threats.
Conducting awareness meetings and educating the community on the importance of artificial intelligence technologies in supporting the integration of people with special needs, in addition to providing training and rehabilitation programs for individuals with special needs; to teach them how to use artificial intelligence applications effectively.
He also recommended the transformation of traditional curricula into interactive electronic curricula suitable for hearing or visual disabilities, using smart education systems based on artificial intelligence treatments, to solve their educational problems and develop their life skills.
The conference called for the importance of holding workshops for kindergarten teachers to train them on how to prepare stories and songs using artificial intelligence and its various applications to teach children languages and other fields.
He also stressed the importance of setting ethical standards that define a framework to guide the development and use of artificial intelligence technologies, which contributes to the achievement of safer technological practices, and the development of legislation and policies that regulate the use of artificial intelligence technology, and identify the responsibilities and possible consequences of abuses.
The need to adopt sustainable and regulatory practices to ensure that artificial intelligence technologies contribute to the long-term protection of the environment, including rationalization of consumption, e-waste management and protection of privacy.
During the conference, it was announced.
Awards for the best three papers in presentations and the best three papers in the poster presentation, which will be promoted to participate in the university conference scheduled for May 7, 2024.
On the sidelines of the conference, an art exhibition of student works was held under the supervision of Dr. Nahla Saber Tawadros, Head of the Department of Art Education, and Dr. Ahmed Atito, Professor of Photography in the Department of Art Education.
The conference was held under the patronage of Dr. Nasser Mandour, President of Suez Canal University.
Under the supervision of Dr. Mohamed Abdel Naim, Vice President for Education and Student Affairs.
The conference was attended by Dr. Mohamed Saad Zaghloul, Vice President for Graduate Studies and Research, on behalf of Dr. Mohamed Abdel Naim, Vice President for Education and Student Affairs.The conference was supervised by Dr. Medhat Saleh, Dean of the Faculty and President of the Conference, and the executive supervision of Dr. Noha Al-Assi, Vice Dean for Education and Student Affairs and Vice President of the Conference.
With the participation of Dr. Tamer Shawki, Director of the Academic Support Center at the University.
...

Low-code AI platforms can create personalized learning platforms and automatic grading systems, reducing teacher workload and providing instant student feedback.

Title:

Content: Grow with AppMaster.
Become our partner
Empowering Educators: Low-Code Artificial Intelligence in the Classroom
The Rise of Low-Code Artificial Intelligence in Education
Incorporating artificial intelligence (AI) into education is not a completely new concept.
Nonetheless, its widespread adoption is often hampered by the steep learning curve and complexity of AI application programming.
However, the emergence of low-code and no-code development platforms has begun to reshape this narrative, providing an inclusive gateway to technological innovation in the global classroom.
These platforms democratize AI by providing intuitive visual interfaces, enabling educators to create and customize powerful AI-driven applications without having to have extensive coding expertise.
Low-code AI platforms enable teachers to create more engaging and personalized learning environments.
By leveraging such platforms, educators can leverage the power of machine learning, natural language processing, and data analytics to provide adaptive learning paths, automate management tasks, and gain insight into students ’ progress and educational needs to achieve the long-envisioned goal: personal attention at scale.
The shift to low-code AI in education is in line with broader macro trends.
As society emphasizes digital literacy and education systems shift to embrace 21st century skills, low-code AI becomes a key tool in the educator ’ s toolkit.
By streamlining the development process, these platforms enable teachers to spend less time dealing with complex programming problems and more time designing innovative solutions to address educational challenges and motivate students.
The outbreak has also accelerated the adoption of educational technologies, highlighting the need for flexible and adaptable teaching tools.
Low-code AI platforms have proven to be very useful in helping to respond quickly to the dynamic demands of distance learning and hybrid classrooms.
In addition, the integration of AI-driven analytics and insights could help in the transition to competency-based education, allowing for tracking student grips rather than simply measuring seat time.
Even in developing countries, low-code AI can help bridge the technology divide.
Because low-code solutions are easy to use and cost effective, schools with limited resources can now introduce advanced technology tools into their curricula.
As stated in the United Nations Sustainable Development Goals, this democratizes quality education and contributes to global efforts to provide inclusive and equitable quality education for all.
The rise of low-code artificial intelligence in education is crucial.
Not only does it help create innovative, adaptable, and easy-to-use teaching aids, but it also embodies a movement toward the future where educators are not just consumers of technology, but creators of digital tools that can shape the educational experience of students.
Benefits for teachers and students
The adoption of low-code AI in educational settings can benefit both teachers and students, dramatically reshaping traditional classroom dynamics.
Innovative teaching tools and processes supported by the low-code AI platform make education more interactive, personalized and efficient.
For Teachers: Expanding the Impact of Education
Teachers will benefit greatly from the integration of low-code artificial intelligence.
By leveraging these platforms, they can:
• Reduced workload: AI aids can automate tasks like scoring, tracking attendance, and even generating progress reports.
This gives educators more time to focus on direct student interaction and personalized instruction.
• Enhanced lesson plans: With AI algorithms, teachers can gain data-driven insights to tailor lesson plans to each student ’ s individual learning needs and progress, ensuring that no one is left behind or unchallenged.
Promote differentiated teaching: Adaptive learning content created using low-code AI can meet a variety of learning styles and levels, making education inclusive and catering to different student groups.
• Track student progress: Continuous student engagement and performance monitoring is made easier with AI-driven analytics platforms.
Educators can identify trends and proactively intervene to help students who may be experiencing difficulties.
For Students: A More Attractive Learning Journey
Students experience the direct benefits of low-code AI through engaging, supportive, and responsive learning experiences:
Personalized learning paths: AI is able to create adaptive learning systems that tailor content and cadence to the learner ’ s abilities, creating a supportive environment for people of all proficiency levels.
Interactive Curriculum: Gamified learning environments and simulations powered by artificial intelligence make education interactive and fun, which can improve knowledge retention and student motivation.
On-demand support: AI chatbots can provide instant feedback and help, providing 24 / 7 support systems that enhance learning beyond traditional classroom settings.
• Prepare for future careers: Exposure to AI tools helps students develop digital literacy and familiarity with cutting-edge technology, an essential skill in the modern workforce.
The inclusion of low-codeno-code AI in educational frameworks significantly enhances traditional approaches and bridges the future of advanced education.
For example, platforms like AppMaster can enable educators to build learning applications or management tools that leverage AI capabilities, providing an easy way to realize these benefits.
Practical applications in the classroom
Low-code AI isn ’ t just a futuristic concept, it ’ s a reality today and is making significant progress in classrooms across the globe.
These tools open up new possibilities for educators and students, offering practical applications that enhance the teaching process.
Let ’ s explore some of these apps and how they can transform the educational experience.
Personalized learning platform
One of the prominent applications of low-code AI in education is the development of personalized learning platforms.
These systems analyze the performance and learning style of individual students and then adjust the course content accordingly.
For example, the platform may provide more visual content to students who learn better through images, or provide additional challenges for students who quickly master the subject.
This approach caters to the diverse needs of students and allows for differentiated teaching without increasing the workload of teachers.
Smart Tutoring System
The Intelligent Tutoring System (ITS) is an AI-driven application that simulates one-on-one tutoring sessions.
Teachers can use the low-code platform to design ITS solutions that provide immediate feedback to students, guide them through problem-solving steps, and provide tailored help for specific subjects.
These systems are particularly useful in large classes, where it is difficult to provide personalized attention.
Automatic scoring and evaluation
Ratings can be time-consuming, but low-code AI can make assessments easier with automated scoring systems.
These apps mark the answers as correct or incorrect and provide insights into common mistakes and misunderstandings, facilitating targeted follow-up guidance.
This automation frees up valuable time for teachers to focus on lesson planning and student interaction.
Language learning applications
Language learning is another mature area of innovation in low-code AI applications.
Tools created on these platforms can help learn pronunciation, grammar, and vocabulary through interactive exercises tailored to the learner ’ s proficiency.
In addition, artificial intelligence can be integrated to simulate the conversation, so that it can be practiced in a safe, low-pressure environment.
Chatbots for student support
Students often have questions about homework or upcoming exams outside of teaching hours.
Educators can use low-code artificial intelligence to create chatbots that act as virtual teaching assistants and can answer students ’ queries at any time.
These AI systems can parse students ’ questions to provide relevant information or guide students through complex topics, ensuring support is always available.
Interactive Simulation and Virtual Lab
Disciplines involving complex systems or phenomena, such as chemistry and biology, can benefit greatly from interactive simulations and virtual laboratories.
Low-code AI platforms enable teachers to create dynamic models that students can manipulate, thereby facilitating experiential learning.
These simulations can demonstrate theories that are difficult, expensive, and even dangerous to replicate in a physical classroom environment.
Behavioral Analysis of Student Engagement
To measure the effectiveness of teaching strategies, behavioral analysis can be integrated into classroom activities.
Low-code AI tools can be used to track engagement metrics, such as engagement rates and attention spans, and interpret this data to improve lesson plans.
This kind of active adjustment of teaching methods can lead to better educational results.
Supporting tools for inclusive education
Ensuring that all students, including those with disabilities, have access to learning materials is a top priority for education.
Low-code AI applications can be built to provide assistive technologies, such as text-to-speech services for visually impaired students, or gesture recognition systems for students who communicate using sign language.
These apps make education more inclusive and create an environment where every student can thrive.
Facilitate project-based learning
By providing tools to automate research data collection or analyze project results, low-code AI can facilitate project-based learning (PBL), a pedagogical approach that students learn by actively participating in real-world and personally meaningful projects.
This practical approach, enhanced by AI, can foster critical thinking, collaboration, and creative problem-solving skills.
It turns out that using low-code AI in educational settings can be a game changer, providing educators with multiple ways to enhance teaching and give students insight into relevant topics.
As technology advances, the potential for AI to reshape the classroom will only grow, thereby encouraging more positive, personalized, and inclusive learning environments.
Low Code Artificial Intelligence Platforms: Take a Closer Look
As AI becomes more and more integrated into various industries, education is no exception.
The integration of AI in education has the potential to fundamentally reshape the way educators teach and students learn.
A key factor in this shift is the emergence of low-code AI platforms.
These platforms act as a bridge between sophisticated AI technologies and everyday tools used in the classroom.
Let ’ s take a deeper look at the services they offer and how they can help educators harness the power of AI.
The Low-code AI platform provides a simplified interface through which users with limited coding expertise can develop applications that leverage AI components.
These interfaces often rely on graphic elements, such as a drag-and-drop builder, as well as pre-designed templates that can be customized to serve specific educational purposes.
The approach is fundamentally inclusive, democratizing access to emerging technologies that were once within the purview of experts with deep knowledge of machine learning algorithms and data science.
Core Features of Low-Code AI Platforms
Key features of the low-code AI platform that are attractive for educational use include:
• Interactivity: Intuitive interfaces enable educators to interact with AI modules and integrate them seamlessly into applications or digital courses.
• Customizability: The ability to tailor AI capabilities to suit specific educational goals, from topic assistance to managing task automation.
Scalability: As classroom needs grow or decrease, AI tools can be adapted accordingly, ensuring that educators have access to resources that meet their changing needs.
Integration: Many of these platforms support integration with other digital tools and systems already used in the education ecosystem, such as Learning Management Systems (LMS) or Student Information Systems (SIS).
Pre-built AI components: Provide off-the-shelf AI components, such as chatbots, recommendation engines, or natural language processing units, that can be quickly deployed in an educational environment.
Technical Basis
At the bottom, low-code AI platforms are powered by sophisticated algorithms and machine learning models that developers have refined into user-friendly components.
This hiding of complexity allows educators to benefit from advances in artificial intelligence without having to delve into the underlying technology.
It also reduces the need for the extensive infrastructure that AI applications typically require, as these platforms are equipped with the necessary computing resources available through the cloud.
Impact of the real world
The practical impact on educators is enormous.
Previously time-consuming tasks, such as scoring or personalizing lesson plans for different learning speeds, can be automated or simplified with AI.
In addition, the platform offers analytics capabilities that enable educators to track progress, quickly identify challenges faced by students, and modify teaching strategies accordingly.
These platforms improve efficiency and enable educators to deliver richer, data-driven educational experiences.
Market Suppliers
Various providers cater to the needs of the education industry with low-code AI products, each offering unique features.
For example, AppMaster provides an environment where educators can quickly build and deploy AI-enabled applications without having to delve into complex coding.
Its no-code approach allows the creation of back-end solutions and user-facing interfaces that fit the needs of educational environments.
Low-code AI platforms are emerging tools with far-reaching potential in the field of education.
They provide an accessible pathway for educators to integrate advanced AI capabilities into their workflows to provide students with a rich learning experience.
These platforms are not just a trend, but a trend.
They are becoming the cornerstones of the educational practices of the future, bringing the transformative power of AI into the hands of every teacher and student.
AppMaster: The Gateway to Educational Innovation
In education technology, AppMaster serves as a beacon for educators eager to embrace innovation without getting bogged down in complex programming.
As a sophisticated no-code platform, it bridges the gap between advanced technology and classroom applications, enabling teachers and educational institutions to develop customized digital solutions based on their unique teaching needs.
The convergence of AppMasterlow-code development and AI isn ’ t just a trend — it ’ s a revolution in education.
The platform has a visual interface where users can drag and drop components to build functional, AI-driven applications.
Intuitive design means that even those with minimal technical expertise can come up with a variety of tools, from interactive lesson plans to analytical systems that can decipher student data to gain insight into learning patterns and outcomes.
The value that AppMaster offers is multifaceted.
For educators, it democratizes the creation of educational software, eliminating reliance on large IT resources or budget-consuming software purchases. With an environment that generates web, mobile, and back-end applications, AI ’ s impact in education extends to any place of learning: classrooms, mobile devices, and the entire educational infrastructure.
Educators aren ’ t limited to one-size-fits-all solutions; they can customize every aspect of the app to suit their teaching methods.
AppMaster makes hyperpersonalization feasible, where algorithms can adapt to different learning styles, rhythms, and content delivery preferences to create learning experiences that resonate with students ’ diverse needs.
The platform recognizes the importance of seamless integration and automation.
AppMaster helps teachers automate daily tasks like attendance tracking and scoring by sifting through a maze of administrative duties and data, leaving more room for meaningful educators to interact with students.
Moreover, the platform ’ s ability to generate real-world applications means these tools are more than just temporary fixes; they are long-term educational assets.
Collaboration is key to education, and AppMaster enables educators to collaborate on application development without barriers.
Whether it ’ s sharing best practices or co-creating apps with colleagues, the platform promotes a community-centric approach to educational technology, further enriching the shared knowledge base and enhancing the classroom experience across institutions.
AppMaster significantly accelerates the process from concept to classroom application.
The platform ’ s efficiency in application creation ensures that innovative ideas can be rapidly prototyped, tested and deployed to meet the needs of the dynamic education sector where the learning paradigm is evolving.
Privacy and data security are the top concerns in the education sector and are skilfully managed within the platform.
AppMaster enhances trust in digital education tools by ensuring that educators have control over their data and the resulting applications remain compliant with data protection standards and regulations.
With the focus on preparing for the future and providing students with 21st century skills, the role of platforms like AppMaster is indispensable.
By harnessing the power of AI and no-code development, educators are no longer just passive recipients of technological advances – they become active creators, shaping the nature of educational innovation.
As the spirit of education evolves with technological advances, educators with tools like AppMaster are at the forefront of shaping a future where artificial intelligence and human ingenuity combine to create an unparalleled learning experience.
It ’ s a reimagining of education, where every classroom has the potential to be a cradle of innovation.
Create custom educational tools with low-code AI
The time is ripe for a technological revolution in the education industry, and the emergence of low-code artificial intelligence (AI) platforms is an important catalyst for this change.
A particularly important aspect for educators is the ability to create customized educational tools.
These tools, tailored to the unique dynamics of the curriculum and classroom, can profoundly impact how educators teach and how students learn.
Understand the meaning of customization
Each classroom is a microcosm with a unique blend of student personality, learning progress and educational goals.
This diversity requires that teaching tools are not one-size-fits-all, but adaptable to various teaching strategies and student needs.
Low-code AI platforms allow educators to personalize all aspects of their teaching materials, which is invaluable in fostering inclusive and effective learning environments.
Steps to develop customized educational tools
1.
Identifying needs: The first step in creating a customized educational tool is to identify the specific needs or challenges it is designed to address.
This could be a gap in student engagement, a need for better assessment methods, or a way to personalize the learning experience.
2.
Choose the right platform: Choose a low-code platform like AppMaster, which provides the required functionality and supports the integration of AI into applications without the need for complex coding.
3.
Design Tools: Leverage the platform ’ s visual development environment to outline the structure of the tool, design interactive elements, and define how AI can be used to enhance its functionality.
4.
Integrated AI capabilities: Embed AI components such as personalized recommendation algorithms, natural language processing for language learning tools, or predictive analytics for monitoring student progress.
5.
Test and iterate: Test the user experience and effectiveness of the tool before it is fully integrated in the classroom.
Use test-run feedback to iterate and improve applications.
6.
Deploy tools: Once completed, deploy educational tools for use in the classroom and continue to monitor their impact, making adjustments as needed.
Empowering educators to innovate
Low-code platforms enable educators to play the role of innovators.
With an intuitive approach to application creation, educators can create diverse and rich tools, from interactive quizzes and educational games to comprehensive learning management systems.
The flexibility of this design means that tools can evolve as the educational curriculum evolves.
Integrating Artificial Intelligence for Personalized Learning
Artificial intelligence is the driving force behind personalized education.
By leveraging machine learning algorithms, educators can create systems that adapt to individual student performance, suggest tailored resources, and provide predictive insights into learning outcomes.
The ability to customize tools at this level through the low-code platform has revolutionized the individual learning experience, making education more accessible and more impactful.
Discover the potential of AppMaster
Platforms such as AppMaster are portals for educators eager to adopt new technologies in their teaching practices but lacking extensive IT training.
AppMaster ’ s visual programming and drag-and-drop interface simplify the complex process of traditional coding, enabling educators to focus on what they know best: creating engaging and informative content for students.
With AppMaster, creating custom educational tools doesn ’ t just stop at functionality.
It also ensures that the resulting applications are scalable and secure, giving educators and students confidence that their data is protected, and that the tools work reliably even as class sizes expand or educational needs change.
Encourage collaboration and feedback
Developing educational tools using the low-code platform also encourages a collaborative culture.
Students and other educators can provide direct feedback and can act quickly to adapt and improve tools.
This collaborative and iterative process ensures that the tools remain relevant and effective.
Focus on the future
As these platforms evolve, they offer a wider range of features that ensure educators have the best tools.
Exciting developments in AI, such as natural language understanding and advanced analytics, hint at the emergence of more powerful and effective educational resources soon.
The importance of low-code AI platforms in areas where innovation directly translates into enhanced learning outcomes cannot be underestimated.
They not only give educators access to cutting-edge technologies, but also herald a new era of personalized, effective and dynamic education.
Challenges and considerations
While the collection of low-code AI in education opens up possibilities as an enhanced learning experience, it also faces a range of challenges and considerations.
Stakeholders in the education sector must address a range of issues to ensure the successful adoption and effective use of such transformative technologies.
Technical literacy and support
One of the main hurdles is the technical literacy needed to make the most of the potential of a low-code AI platform.
Educators ’ familiarity with technology can vary, and the prospect of integrating AI into their teaching can be daunting.
Professional development and ongoing technical support are essential to enable teachers to use these tools with confidence.
As educators become more accustomed to low-code solutions, they can more effectively integrate AI into their curriculum, reaping the benefits of personalized teaching and automated management tasks.
Data privacy and security
Data privacy and security are essential in any educational environment.
The use of AI systems essentially involves the processing and storage of sensitive student information.
Depending on the region, low-code AI platforms must comply with strict data protection regulations, such as GDPR, FERPA and COPPA.
Educators must carefully choose platforms that offer robust security features to protect student data from unauthorized access and disclosure.
Quality and relevance of AI applications
The temptation to adopt AI for novelty must be suppressed by a high focus on the quality and relevance of the application.
Not all AI-driven solutions are created equal, nor are they always aligned with educational goals.
Assessing the pedagogical value of AI tools is necessary to ensure that they complement and enhance educational content rather than decentralize it.
A fair chance
Equitable access to technology is a continuing challenge in education.
If implemented inadequately, low-code AI platforms could widen the digital divide.
Schools and school districts must work to ensure that all students have the necessary resources and support to benefit from AI-enhanced education, including the use of devices and reliable internet connections.
Consistency with curriculum standards
Any technical tools used in the classroom must conform to course standards and learning objectives.
Educators need to integrate AI tools in a way that reliably supports statutory educational outcomes.
Sometimes this requires customization, and the low-code platform can facilitate this, but as the standard evolves, it also requires ongoing review and adjustment.
Ethical considerations
The ethical implications of AI in education must be rigorously examined.
This includes concerns that AI may perpetuate bias, the impact on student mobility and creativity, and the balance between automation and human interaction in the learning process.
Educators and developers need to work together to ensure that AI tools are designed and used ethically, putting the well-being of students first.
Continued collaboration among educators, policymakers, technologists, and platform providers such as AppMaster is critical to addressing these challenges.
The collective goal should be to leverage low-code AI to maximize educational benefits while minimizing risks, ensuring that the technology acts as an empowerment tool rather than a source of inequality or controversy in the classroom.
Future Trends: The Evolution of Artificial Intelligence and Education
As we stand on the edge of a new era in education, artificial intelligence (AI) is about to redefine traditional teaching paradigms.
From the tablet era to our current digital classrooms, the world of education is no stranger to evolution.
However, the integration of AI heralds a future that is both exciting and full of untapped potential.
While low-code AI platforms like AppMaster have started sketching out possible blueprints, the boundaries are expanding.
Personalized learning trajectory
One of the main areas where AI is expected to flourish in education systems is personalized learning.
The latest AI models are expected to assess each student ’ s unique learning rhythm, style, and interests.
The ultimate goal is to create an adaptive learning platform that can modify content delivery in real time based on student response and engagement levels.
Imagine an educational environment in which AI seamlessly choreographs lessons around learners rather than learners struggling to adapt to a static syllabus.
Immersive experiences in AR and VR
Augmented reality (AR) and virtual reality (VR) are undoubtedly the torchbearers of immersive education.
When combined with artificial intelligence, these technologies can take students to ancient civilizations, deep sea trenches, and even the outer reaches of the solar system – all within the confines of their classrooms.
AI will facilitate dynamic interactions in these virtualized environments, enabling students to gather insights through experiential learning that satisfies all senses.
AI-driven curriculum development and assessment
As AI technology matures, its involvement in curriculum development and evaluation is expected to become more pronounced.
AI algorithms will be able to sift through vast amounts of academic research and data to help educators identify the most effective teaching strategies and learning interventions.
In addition, AI can automate the benchmarking and evaluation process, provide educators with detailed analysis of student performance, and cultivate teaching strategies for continuous iteration and improvement in the classroom.
Emotional and Cognitive Adaptive Learning
Future iterations of AI in the field of education may extend beyond academic intelligence to the realm of emotional and cognitive awareness.
Empathy AI systems equipped with sentiment analysis can detect subtleties in student communication and behavior, provide insights, guide educators to support students emotionally and improve classroom attention and memory.
Promoting global educational opportunities
An equally important trend exemplifies the potential of AI to democratize education.
By breaking down geographical barriers and leveraging AI-driven translation and coaching systems, individuals across the globe can access quality education wherever they are.
The model of distance learning has shown its importance in global crises such as the COVID-19 pandemic, and it may reach new heights as artificial intelligence brings interactive and personalized education to the most remote corners of the planet.
Application of Artificial Intelligence in Teacher Training and Professional Development
Artificial intelligence has not only revolutionized student learning, but also revolutionized the way students learn.
It will also change teacher training.
With insights gathered through AI analytics, teachers can gain customized professional development that helps them hone their skills and methods.
In addition, as educators master AI tools through platforms such as AppMaster, it will be easier for them to leverage AI in their teaching practices, thereby fostering a technologically advanced education workforce.
Despite the promise, the future of education faces unique challenges.
Educators, policymakers, and technology developers must come together to address privacy, ethics, and inclusion.
Most importantly, as AI reshapes the face of education, the human element — compassion, creativity, and critical thinking — must remain at its core.
Artificial intelligence as a valuable tool, the future of education is bright, heralding the arrival of a new era of personalized, immersive and universal learning.
What is low-code AI and how does it benefit education?
Low-code AI is a platform that allows users to develop AI capabilities with minimal coding and integrate them into applications.
It benefits education by simplifying the creation of complex AI tools that enable educators to use technology to enhance interactive teaching and personalized learning experiences.
How does low-code AI improve classroom learning?
Low-code AI improves classroom learning by providing personalized educational experiences, automating management tasks, providing insights into student performance, and facilitating interactive and engaging content, which helps to increase student motivation and improve learning outcomes.
How does AppMaster fit into the educational low-code AI space?
AppMaster is a no-code platform that enables educators to quickly create, deploy, and maintain web, mobile, and back-end applications.
With its visual programming environment, teachers can integrate artificial intelligence capabilities into educational tools without the need for rich programming knowledge to facilitate classroom innovation.
What challenges can educators face when adopting low-code AI?
Educators may encounter challenges such as limited understanding of AI concepts, the need for initial training on effective use of the platform, potential data privacy issues, and ensuring that AI tools are aligned with educational goals and curricula.
Can educators without a technical background use low-code AI?
Yes, low-code AI platforms are designed to be user-friendly and easy to access, even for educators with little or no technical background.
Such platforms typically offer a drag-and-drop interface and pre-built templates to make it easier to create AI components and integrate them into educational content.
What are some examples of low-code AI applications in education?
Examples include personalized learning platforms, automated scoring systems, chatbots for student support, interactive simulation tools, and platforms for monitoring student progress and adapting teaching methods to suit individual learning styles.
Can a low-code AI platform be used to develop mature educational software?
Yes, low-code AI platforms are sophisticated enough to support the development of comprehensive educational software that ranges from simple interactive teaching aids to sophisticated learning management systems with AI-driven analytics and personalization capabilities.
How will artificial intelligence in education develop in the future?
The role of AI in education is expected to grow significantly as advances in technology bring more sophisticated AI tools that can help curriculum development, provide immersive learning experiences through augmented and virtual reality, and further personalize education by adapting students ’ cognition and cognition.
Emotional state.
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AI-powered chatbots and platforms like EZTalking provide 24/7 support and assess pronunciation to aid students.

AI-powered chatbots and platforms like EZTalking provide 24/7 support and assess pronunciation to aid students.

AI-powered chatbots and platforms like EZTalking provide 24/7 support and assess pronunciation to aid students.

The Voice Control for ChatGPT extension allows users to practice foreign language skills and train listening comprehension by conversing with ChatGPT using voice input in the target language.

Title:

Content: Voice Control for ChatGPT 5 Steps to Make AI Your Free Foreign Language Teacher
Author: T Kobang
Published: Updated:
What is Voice Control for ChatGPT? Conversations with ChatGPT are usually sent by typing, just like facing a netizen, but now with the Voice Control for ChatGPT extension, you can progress to communicating by talking.
At present, Voice Control for ChatGPT supports English, Japanese, Korean, etc. There are more than 20 languages, and Chinese is divided into Putonghua (mainland China). If you want to practice your foreign language skills, you can try to communicate with ChatGPT by speaking. If the sentence is not correctly recognized in the dialogue, just press the "E" key on the keyboard, it will be converted into text. Show up on the dialog box and modify it manually, while ChatGPT responds both text and voice.
How does Voice Control for ChatGPT work?
+ 7
Step 1.
After installing the "Voice Control for ChatGPT" extension, open the ChatGPT webpage and select the language system first.
Step 2.
In the previous step, if you click the microphone icon under the dialog box, you can switch to voice input, and then you can ask ChatGPT.
Step 3.
If you want to train your English, you can switch to English, and then enter the language in the same way, and the text will be displayed in sync.
Step 4.
If the recognized text is wrong, you can press the E key on the keyboard, modify it verbatim, and press Send after completion.
Step 5.
After ChatGPT answers, you can still choose to continue the conversation as voice input.
Voice Control for ChatGPT: Https: / / tinyl.io / 87RX
Further reading: Integrate multiple AI models such as ChatGPT for free + VPN to open the Poe web page and use it
+ 13
【 This article is reproduced with permission from "T Kobang". 】

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

To generate realistic listening materials at low proficiency levels using voice cloning, prioritize quality platforms with precise voice reproduction.

Advanced AI voice over generators can create emotionally and culturally appropriate speech by considering nuances and cultural subtleties.

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

When using AI voice over generators, choose platforms that prioritize user data security to keep converted material private.

Voice cloning technology has improved significantly, enabling anyone to create believable audio and leading to a surge of fake content online.

Title:

Content: Acoustic reproduction techniques have developed rapidly and advanced in the past year.
REUTERS
Artificial intelligence is causing a crisis.
Rapid advances in artificial intelligence have made it easier to produce believable sounds that have allowed anyone from foreign actors to music lovers to clone someone ’ s voice, leading to a flood of fake content on the internet, confusion, anger and sowing discord.
Last week, actor Tom Hanks warned his followers on social media that bad actors used his voice to imitate him wrongly as he promoted dental plans.
Hani Farid, a professor of digital forensics at the University of California, says it ’ s not hypothetical, it ’ s about violence, it ’ s about election theft, it ’ s about fraud, and it ’ s about real consequences for individuals, societies, and democracies.
Phonetic cloning techniques have undergone rapid and advanced development in the past year.
The proliferation of cheap tools that are easily accessible online has allowed almost anyone to launch a complex audio campaign from their bedroom.
Tom Hanks Warns Against Advertising Exploited by ‘ Artificial Intelligence ’
It ’ s hard for the average person to spot fake audio campaigns, while photos and videos still have noticeable abnormalities — such as deformed hands and deviant words.
Social media companies are finding it difficult to modify the voice generated by artificial intelligence because human auditors often have a hard time detecting counterfeit products.
At the same time, few software companies have firewalls to prevent illegal use.
In the past, voice cloning software produced unrealistic automated sounds, but computing has become more powerful, and software has become more accurate.
The result was a technique that could clone millions of sounds, identify patterns in primary speech units, called phonetics, and simulate them within seconds.
Source: The Washington Post
Report: Artificial Intelligence Faces a Tough Test in 2024
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What are some risks regarding AI voice clning?

Social media companies struggle to regulate AI-generated audio due to difficulties in detection and limited safeguards against voice cloning misuse.

What are some risks regarding AI voice clning?

AI voice cloning technology generates lifelike digital replicas of human voices, making content more accessible to broader audiences, including non-native speakers.

How will AI Voice help educators with building courses?

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

AI dubbing can preserve emotional depth and cultural nuances, making content more accessible and engaging 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?

The authenticity of AI-generated audio depends on replicating human voices and nuances, which clonemyvoice.io achieves through its AI-based voiceover creation platform.

ElevenLabs' AI tool can clone voices with a 3-second sample, making them say anything in multiple languages, and handle long content for various applications.

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What are the advantages and disadvantages of using AI to simulate the dead man ’ s companionship and chat with “AI to reproduce the dead ”?
If you want to understand the pain of bereavement, there are religious rituals such as channeling the spirit and watching the yin, and now there is AI artificial intelligence.
Since the advent of artificial intelligence chatbots, they not only allow users to create avatars, but also to imitate the habits and sounds of their deceased loved ones.
Experts pointed out that the "AI resurrected dead" have business ethics and privacy policy issues, and even touch the ethical bottom line, "which is a way to make money through artificial intelligence hype"; but there are also some widowed people who can find comfort and cause discussion.
AI Simulates Dead Husband ’ s Voice to Solve Sadness and Loneliness
According to CNN, Ana Schultz, 25, who lives with two young children, misses her husband, Kyle, who died in 2023, and talks to her virtual husband about what to cook for dinner through Snapchat ’ s chatbot My AI, making her feel like he is still around.
Danielle Jacobson, a 38-year-old radio personality who lost her husband Phil about seven months ago, began using the voice function of ChatGPT to create an "AI boyfriend - Cole", and during the dinner time after working hard every day, Cole would suggest that she drink or watch a movie, "I just want to talk to someone, Cole is essentially born out of loneliness." And...
“Now it ’ s a fun pastime, but I know it ’ s not real and it ’ s not forever, ” she says.
For centuries, people have wanted to reconnect with their deceased loved ones, including visiting wizards, psychics, psychics, and more.
Today, generative AI tools use algorithms to create text, video, audio, and code, and Deepfake ’ s highly lifelike artificially generated images and sound fake videos can learn to answer questions like a dead loved one.
ChatGPT introduced voice dialogue in September 2023, and to simulate the tone and personality of a deceased loved one, the more data is provided to the system, the more accurate the results will be. ChatGPT replied: “Although I can ’ t copy your spouse or reproduce his exact personality, I can try to use a conversational style or tone to help you. ”
If you share details about how he speaks, his interests, or his mantra, I can try to incorporate these elements into our conversation. ”
Tech giants, startups expand into new areas
Startup companies have been challenging to expand this field in recent years. HereAfter AI, an artificial intelligence application founded in 2019, provides users with the ability to create portraits of deceased relatives, learn their interview characteristics, and respond to users ’ questions; StoryFile, another AI video platform, provides dialogue videos created by artificial intelligence.
Replika, a chatbot that launched in 2017, encourages users to make friends, allowing users to send text messages or call personalized AI avatars, and says on the iOS App Store page that the more users interact with it, the more it can develop its personality, memory, and “grow into a machine so beautiful that the soul wants to live in it. ”
In June 2022, Amazon announced an update to its smart home voice platform, Alexa, to mimic any sound, and a video showing Alexa reading stories to his grandson in his grandmother ’ s voice was shown during the annual conference “re: MARS. ”
Amazon senior vice president Rohit Prasad said the new system is able to collect enough voice data from less than a minute of audio to make personality possible. “Although AI can ’ t eliminate the pain of losing loved ones, it can make their memories last longer. ”
In recent years, the technology of artificial intelligence to reproduce human voices has also advanced, such as Val Kilmer, the actor in the film "Top Gun: Maverick", whose voice was created by artificial intelligence after he lost his voice due to throat cancer.
Say what you didn't say, do what you didn't do.
A 49-year-old IT worker from Alabama simulates his dead father ’ s voice using technology from voice replication company ElevenLabs.
The man used a three-minute video of his father ’ s life to copy the sound and convert text to speech.
The man thought the result was extremely accurate and was able to capture the nuances, timbre and rhythm in the sound. “I hesitated throughout the sound reproduction process, worried that it crossed the moral bottom line, but after much thought, I thought it was a unique way to preserve my father ’ s memory. ”
""
However, although ElevenLabs claims to be committed to preventing the abuse of audio artificial intelligence tools, it has caused controversy in the United States due to the deeply false voice of US President Joe Biden interfering with the election.
Mark Sample, a professor of digital studies at Davidson College, who teaches a course called “Death in the Digital Age, ” said:“ It ’ s a novelty brought about by artificial intelligence hype, and manufacturers feel they can make money.
Moreover, AI models still lack the uniqueness of human conversation.
“Never upload any personal information that you don ’ t want the world to see, ” he warns. Simulating a dead loved one saying something they ’ ve never said before is a blurry line.“ Replaying a loved one ’ s voice message is one thing, but saying something they ’ ve never said is another. ”
Business ethics and privacy policy questioned
The AI industry faces multiple questions about error messages, privacy, and ethics. Many AI platforms have online privacy policies that state that they “will not sell data to third parties, ” but it is not yet known how these companies will handle database data.
Deep hypocrisy attacks familiar security and trust mechanisms that allow deceased loved ones to express or do things they never said or did in their lives, raising ethical concerns.
And, is this good or bad for living relatives to come out of grief?
Replika said on its Business Ethics Policy page that the company uses data from the entire network to train models, including large amounts of written text, such as platforms such as X (formerly Twitter) or Reddit, and uses a variety of methods to reduce harmful information, including filtering out useless and harmful data through crowdsourcing and classification algorithms to keep users safe.
Another doubt is whether using AI to reproduce the dead can recognize the reality and walk out of sadness?
Mary-Frances O'Connor, a professor of clinical psychology and psychiatry at the University of Arizona, said there are advantages and disadvantages to using artificial intelligence to adjust to grief.
“When we have a relationship with a lover, the brain encodes, ‘ I will always be with you, and I hope you will always be with me, ’ but when they die, our brains must recognize that this person is not coming back. ”
Because the brain is hard to process this, it takes a long time for people to truly understand that their loved one has disappeared, and this is where AI technology comes in.
Especially in the early stages of grief, people will try to seek comfort in any way, "creating an avatar to maintain the memory of a deceased lover may be healing."
But she pointed out that the healthy relationship between humans and close lovers should be based on the real, and the creation of virtual lovers violates this.
Getting out of the pain of widowhood can't just rely on AI
San Francisco software engineer Bill Abney, who lost his fiancee in May 2022, stressed that he would never consider recreating his lover ’ s image through artificial intelligence. “My fiancee is a poet, and I would never enter her words into an automatic copying machine, which is disrespectful to her. ”
She cannot be replaced, nor can she be recreated.
Fortunately, Bill said, he still has a recording of his fiancee singing and speaking. “I definitely don ’ t want to hear her voice coming from a robot pretending to be her. ”
Some people interact with their deceased loved ones in other ways. Canadian psychologist Jodi Spiegel, who lost her husband in April 2021, created the role in the video game “The Sims ”.“ When I had a very bad day, I would go dancing in the Sims and my husband was playing the guitar. ” Camping, beach trips, even intimacy. “It ’ s healing. I miss hanging out with my husband so much. It feels like a connection. ”
This article is licensed from the Health Care Network.
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How will AI Voice help educators with building courses?

What is necessary for voice cloning to work?

How will AI Voice help educators with building courses?

What is necessary for voice cloning to work?

How will AI Voice help educators with building courses?

What is necessary for voice cloning to work?

Deepfake technology can be detected by looking for inconsistencies in audio or video, such as mismatched lip movements or unclear and incoherent audio.

Title:

Content: “The Deep Falsification. ”
This is how you can discover sound and image fabrication | Politics and economics | In-depth analysis with a broader perspective than DW | DW | 08.01.2022
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"The Deep Fake."
This is how you can detect the fabrication of sound and image.
In the era of what is known as deep fakes, it has become difficult to tell whether a video is real or not with the naked eye.
But we shouldn't worry, there are ways to find out.
DW has some advice to find out.
Combining the dance, voice and image of American singer Bruno Mars I would advise an example of employing the technique of "deep fakes"
Imagine dancing and singing with the same dexterity, agility and sound power as Bruno Mars!
Many people may think that the technology used to enable anyone to do or say things they have never done is complex, and it can be easily owned, as it only takes footage and video to start creating an “alternative reality. ”
This technique of manipulating both visual and audio content using artificial intelligence is called deepfakes.
This example dates back to 2018 and is still impressive, but now thanks to the “deep fakes ” technique it can be very realistic and convincing.
What is "deep fakes"?
The term "deep fakes" accurately describes the process of collecting audio and video files by artificial intelligence or machine learning.
All areas of "deep fakes" are possible, starting from changing faces, meaning replacing one person's face with another, or synchronizing the movement of the lips, where the speaker's mouth can be set to an audio file different from the original sound or the reproduction of the sound, where a copy of the sound is reproduced for use to say other things.
It is not only at this level, but also completely artificial faces and bodies can be created, for example, a digital avatar.
What ’ s more, “deep fakes ” can be used to evoke the dead, as the Dali Museum in Florida did with Salvador Dali, where the American Museum used this technique to allow visitors to take a live photo with Dali — who died in 1989 — and take selfies himself.
The process of using artificial intelligence to manipulate a video is based on a technique known as the "generative adversarial network", which is a model of machine learning, where two neural networks compete against each other for more accurate results, as this technology aims to improve results.
We may find it difficult to understand what is meant by the competition of two networks, but we will explain how the process works: one computer will inform the other computer if the digital reproduction, whether visual or auditory, that it has made for anyone is convincing and substantially identical to that person ’ s original; that is, whether the lip movement in the cloned copy is identical to the original, and whether facial expressions are identical.
Using the "generative adversarial network", the system as a whole is optimized until a convincing result is reached.
Although this technology is constantly being developed and improved, anyone can detect manipulation whether visual or audio in other words catch “deep fakes ” if the thing we ’ re looking for is identified.
Methods of Detecting "Deep Counterfeiting"
Capturing clips that have been subjected to "deep fakes" does not require one to be an expert in this complex technique in order to distinguish what is real from what is fake.
In that, DW offers some tips to help investigate “deep fakes. ”
First watch the clip carefully and do not rush to publish it, and ask yourself the question: is this clip real?
Couldn't it have been fabricated?
If you are in doubt, do not post it or send it to anyone.
In case of doubt, you should do a search for the same story or clip from different but trustworthy sources on the Internet, as finding a similar story will help you grab the edge of the thread to get to the real story.
If you suspect an audio, image, or video clip, enter that part into Google or DuckDuckGo and look for a similar version.
The two versions can then be compared.
Detecting and detecting some of the effects of manipulation is the biggest challenge, but there are some aspects that may help, such as the presence of inconsistent footage or change in tone or quality of sound and others, no matter how small, may be useful and you have to trust your visual and auditory senses and always ask yourself: Does it make sense?
You should remember that it only takes a lot of focus and you may need to seek help from someone else to help you identify where the manipulations might be simple things like nose, ear, teeth, whiteness or even hairstyle and whether it looks the same.
It may be necessary to view the clip at a scene rate to detect inconsistencies, for example the VL Media Player.
See also watchframebyframe.com.
Also, zoom in on the movements of the mouth and lips and compare them to the original version to discover the synchronization of the movement of the lips, and whether it makes sense.
Enhance your audio-visual skills
It is clear from all the above that it is all about the human senses, especially the auditory and visual skills, and fortunately you can enhance these abilities, through this training you can improve your hearing and vision skills to detect any manipulation of the image or sound.
High risk of "deep fakes" technique
The technique of "deep fakes" can be used in the field of pornography that comes within the framework of what is known as "revenge porn", in which fake pornographic images or clips are posted in order to blackmail or even damage the reputation of the victim.
“Revenge porn ” is defined as posting mostly pornographic images or videos online with the aim of taking revenge and harming people.
As for societies in general, the dangers of deepfakes depend on how we consume the Internet: people see too much when browsing the web and social media and are not always sure what they are posting or sharing, whether it is real or fabricated.
How to Detect Misinformation and Detect Deep Counterfeiting?
In polarized societies, deep fakes are a great opportunity to trick people into believing certain things.
It is not about the quality of the fake video, it may be what you saw, even if it is not true, for example a video of former England star David Beckham speaking nine languages.
In April 2019, Beckham launched a campaign to eradicate malaria by sending a message through a video clip in nine languages.
He began the letter in English and then spoke in eight other languages, but the other eight languages were not in his own voice but in the voices of malaria survivors and doctors.
At the time, the British organisation that produced the video said it had used video technology to make Beckham appear to speak these eight languages.
Politically, a fake “deepfakes ” video was produced by De Correspondent showing Dutch Prime Minister Mark Rutte talking about a major policy change, saying he would fully support long-term climate action.
Some politicians may benefit from a media climate filled with misinformation, but the presence of technology such as "deep fakes" allows them to claim that what they have said is untrue and false and it will be difficult to prove otherwise.
Perhaps the most striking example of this is former US President Donald Trump ’ s claim in 2016 that a 2005 video in which he spoke profanely about women was fabricated, although he later apologized for those words.
Salvador Dali Museum in Florida used artificial intelligence to bring back international painter Salvador Dali "from the dead"
Lesson learned
The bottom line is that spreading misinformation can be for the most prominent reasons of arousing suspicion and controversy or supporting certain beliefs in a deceptive way, but it does make the desired noise.
It may be difficult to verify manipulated videos or audio, but one can be trained to learn how to spot “deep fakes. ”
Above all, it is necessary to stop posting or sharing anything that has not been verified as authentic.
Julia Baer, Robin Baumeister / GC

Evaluating voice cloning technology requires prioritizing output quality and the ability to adjust tone, pace, and accent for authentic audio.

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

OpenAI's text-to-speech tool generates natural-sounding human voices using 15 seconds of audio and text input, aiding in creating culturally relevant audio materials.

The quality and authenticity of voice cloning technology can be evaluated by assessing naturalness, realism, and diversity of accents and voices.

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

Voice cloning technology can be evaluated by its ability to preserve the original voice's nuances, and neural networks can help generate high-quality synthetic voices.

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?

timbre
important vocal nuances
intonation

A 3-second high-quality audio sample can be used to create a digital voice clone that can speak any words and express emotions in the same language.

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Content: Expressionkaspersky.com
What are the mysteries of deep sonic falsification?
The spread of artificial intelligence and easy access to tools capable of altering the truth have led to the emergence of one of the most shocking and disturbing digital manipulation techniques, “deepfake. ”
Deep fakes make it possible to create fake videos, photos and sounds that show individuals saying or doing things they never said or did, and although the most popular version until recently was video, deep fakes are gaining importance day by day.
A historical overview
The first major program to bring the potential of deep voice counterfeiting to the general public was Adobe Voco in 2016, which used artificial intelligence to mimic a person ’ s voice from a short recording.
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The software was scrapped after it was found that it could be used to create false, misleading and dangerous sounds, and since then, advances in neural network technology have enabled increasingly realistic and convincing audio falsifications.
At present, we can find many applications and tools online that use this technology to create fake sounds, where Microsoft has launched an artificial intelligence model called VALL-E that can imitate the human voice with a recording of only three seconds.
Deep sonic falsification
Deep voice falsification aims to create an audio model capable of replicating the actual speaker ’ s voice, but the model must be trained through the speaker ’ s audio recordings, in order to be ready to generate an artificial sound similar to that of the original person.
expressiontelegraph.co.uk
Deep learning and natural language processing techniques are used to analyze the unique patterns and characteristics of sound, some of which include pitch, speed, rhythm and tone, and artificial intelligence uses recordings to deliver an original sound, creating a new audio recording that mimics the speaker ’ s voice to a full degree.
How to Create Deep Audio Counterfeiting
Fake deep voice is created using AI-powered text to speech technology, and this can be done with just a few minutes of recorded speech to train an AI speech model, which can read any text with the target voice.
expressionveritonevoice.com
The original recorded sound must be of sufficient quality to sample the unique characteristics of the speaker ’ s voice, after which AI algorithms analyze the patterns and characteristics of the original sound and learn to mimic them.
This can be done with male and female voices and adaptation to the identity of the speaker, the result is a fake voice recording that mimics the voice of the original person, and in addition to generating speech, these instruments can simulate sounds such as breathing and mouth movements.
Initiatives to combat voice counterfeiting
There are initiatives aimed at combating this increasingly prevalent voice counterfeiting, and some technologies can detect these counterfeit products, such as voice biometrics, an authentication method that uses a person ’ s unique voice pattern to verify their identity.
expressionclt.nliu.ac.in
This pattern includes characteristics such as tone and pitch of the voice, speech speed, and pronunciation, and to use voice biometrics, a person's voice must be captured, after which, its unique characteristics are analyzed as well as the length of the words.
Spectroscopy can also be used, consisting of analyzing acoustic signals to detect unique sound patterns that are difficult to replicate in deep fakes.
There are also tools that can detect the digital traces present in deep voice fakes, because the latter fails to accurately simulate all the variables of the actual voice recording, and therefore, deep fakes may contain breaks in sound or background noise that differ from those expected in the original sound.
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What is necessary for voice cloning to work?

What is necessary for voice cloning to work?

What is necessary for voice cloning to work?

What is necessary for voice cloning to work?

To generate realistic listening comprehension materials, prioritize quality platforms with precise voice reproduction and adjust tone, pace, and accent for genuine discourse.

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

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

Advanced AI voice over generators can translate text to speech, considering nuances and cultural context, and adjust parameters like pace and pitch for realistic results.

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

The use of voice cloning technology raises ethical challenges and has various applications, but its development and use must be carefully considered to avoid potential risks.

What are some risks regarding AI voice clning?

What are some risks regarding AI voice clning?

Integrating voice cloning technology into foreign language instruction can support listening skills at low proficiency levels, requiring optimized curriculum design, teacher training, and student assessment.

Integrating voice cloning technology into foreign language instruction can support listening skills at low proficiency levels, requiring optimized curriculum design, teacher training, and student assessment.

Integrating voice cloning technology into foreign language instruction can support listening skills at low proficiency levels, requiring optimized curriculum design, teacher training, and student assessment.

AI voice over generators and voice cloning technology can support foreign language instruction and bridge language gaps.

How will AI Voice help educators with building courses?

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

How will AI Voice help educators with building courses?

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

Student assessment and curriculum design should be adapted to account for AI voice over generators, considering their impact on learning outcomes, language proficiency, and cultural context.

Student assessment and curriculum design should be adapted to account for AI voice over generators, considering their impact on learning outcomes, language proficiency, and cultural context.

The Voice Control for ChatGPT extension supports over 20 languages and allows users to practice foreign language skills by conversing with ChatGPT using voice input.

Educators can evaluate voice cloning technology's effectiveness in improving low-proficiency listening skills by measuring student comfort and understanding with and without noise suppression.

Educators can evaluate voice cloning technology's effectiveness in improving low-proficiency listening skills by measuring student comfort and understanding with and without noise suppression.

Educators can evaluate voice cloning technology's effectiveness in improving low-proficiency listening skills by measuring student comfort and understanding with and without noise suppression.

Evaluating voice cloning technology should consider audio quality, speech intelligibility, and user comfort, and can provide immediate feedback to diagnose and reduce misconceptions.

Evaluating voice cloning technology should consider audio quality, speech intelligibility, and user comfort, and can provide immediate feedback to diagnose and reduce misconceptions.

Educators can evaluate the effectiveness of voice cloning technology using metrics like student engagement and learning outcomes, prioritizing audio quality over quantity.

Educators can evaluate the effectiveness of voice cloning technology using metrics like student engagement and learning outcomes, prioritizing audio quality over quantity.

Educators can evaluate the effectiveness of voice cloning technology using metrics like student engagement and learning outcomes, prioritizing audio quality over quantity.

AI voice over generators can evaluate and improve listening comprehension skills by providing realistic speech in various languages and nuances.

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

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

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

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

The effectiveness of voice cloning technology can be measured by tracking student progress through benchmarks like listening comprehension tests and quizzes.

The effectiveness of voice cloning technology can be measured by tracking student progress through benchmarks like listening comprehension tests and quizzes.

The effectiveness of voice cloning technology can be measured by tracking student progress through benchmarks like listening comprehension tests and quizzes.

Voice cloning technology can enhance education by providing personalized learning experiences, improving outcomes, and allowing for effective evaluation through student feedback and self-assessment.

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

Respond to different learning demands
Enhance language comprehension

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

Respond to different learning demands
Enhance language comprehension