Voice cloning technology is a rapidly developing field that enables the creation of highly realistic and convincing artificial voices, raising both excitement and concern about its potential applications and implications.

This technology has developed rapidly in the past year, with significant advancements in learning speech nuances, allowing for more realistic voice cloning.

Voice cloning requires only minutes of speech to create a model, and AI voice cloning can be used in new content, including foreign languages.

The technology can be used for entertainment, such as singing songs, and cloning historical figures' voices can be used for discussions with current politicians.

However, the use of voice cloning technology also raises concerns over consent and misuse, particularly in the context of scams and fraud.

Criminals use voice cloning for fraud and extortion, and Interpol reports cases of fake voices being used for money.

The development of voice cloning technology relies on huge amounts of data to train algorithms, and existing algorithms have limitations when dealing with non-English languages.

Transfer learning technology can be used to achieve quick results, but data drifting occurs when algorithms are trained on limited data, making training from scratch necessary for non-English dialects.

OpenAI's Voice Engine is a notable example of voice cloning technology, capable of cloning a voice in as little as 15 seconds, and can generate results in multiple languages.

However, OpenAI's Voice Engine is not yet available to the public due to concerns about the risk of abuse and synthetic speech.

Microsoft has also developed a voice cloning system called VALL-E, which can convert written texts into audio clips matching the speaker's tone and voice, using a 3-second audio sample.

VALL-E considers room acoustics and reading style to achieve accurate simulation and has demonstrated high accuracy in simulating sound effects and surroundings.

The current state of development for voice cloning technology is rapidly advancing, with rapid improvements in AI making it easier to produce believable sounds.

Phonetic cloning techniques have developed rapidly, and cheap online tools enable complex audio campaigns, making it difficult for average people and even human auditors to detect fake audio campaigns.

Tom Hanks' voice was cloned for fake ads, highlighting the potential for misuse of voice cloning technology.

Law enforcement has warned of the potential misuse of AI clones, and OpenAI has implemented digital watermarks for security and requires partners to disclose AI-generated audio to audiences.

The original voice owner must give explicit consent for their voice to be cloned, and OpenAI actively monitors Voice Engine usage to prevent abuse.

Eleven Labs has developed voice cloning technology using AI models, which can clone voices in multiple languages with a 3-second sample clip, and has collaborated with celebrity heirs for voice cloning.

The technology has sparked controversy and fears among actors, with Hollywood actors going on a 118-day strike over voice cloning concerns.

Eleven Labs' AI tool can produce natural-sounding and persuasive audio, and can be used in industries like publishing and gaming, as well as to create localized experiences for worldwide audiences.

However, the use of voice cloning technology raises concerns about consent and misuse, and experts see deepfake audio technology as a growing concern for cybersecurity.

Scammers use deepfake audio for telephone scams, targeting businesses, and cybersecurity experts suggest adding steps to transfer processes to prevent scams.

OpenAI is working to address voice cloning concerns, including educating the public about AI risks and conducting "red team testing" to identify potential risks.

The company is also phasing out voice recognition for bank account verification and working with international partners to address voice cloning concerns.

The legal implications of voice cloning technology are complex, with concerns over copyright infringement, unauthorized use of likeness, and potential harm to individuals and society.

Experts consider voice cloning a distortion of original voices, and the cloning of voices of deceased singers sparks disputes with heirs, raising questions about rights and ownership.

The use of voice cloning technology for malicious purposes, such as extortion, blackmail, and impersonation, is a significant concern, and regulators are urging companies to adhere to ethical standards to prevent misinformation.

Lawmakers and regulators are calling for regulations to manage voice cloning technology, stipulate legal and illegal use, and establish effective enforcement mechanisms.

The development of voice cloning technology raises ethical challenges, including the need for transparency, authentication mechanisms, and restrictions on use in sensitive areas like finance.

Overall, the legal and ethical implications of voice cloning technology are far-reaching, and it is essential to address these concerns through regulation, education, and advocacy to promote responsible use.

In the context of language learning, voice cloning technology can be used to generate realistic listening comprehension materials, with tools like Voice Engine able to clone a voice in 15 seconds and retain the speaker's natural accent in translation.

To evaluate the effectiveness of voice cloning technology in generating realistic listening comprehension materials, it is essential to consider factors such as the quality of the audio, the accuracy of the pronunciation and intonation, and the cultural nuances and emotional appropriateness of the generated speech.

Additionally, it is crucial to review the output of the voice cloning technology to ensure that it meets the desired standards, and to customize the settings and seek input from native speakers to ensure that the generated speech is realistic and effective.

The use of voice cloning technology also raises ethical concerns, such as the potential for misuse and the need for protective protocols to ensure speaker approval and prevent the spread of disinformation.

Ultimately, the development and use of voice cloning technology require a careful consideration of the potential benefits and risks, as well as a commitment to responsible innovation and ethical practice.

Voice cloning technology is a rapidly developing field that enables the creation of highly realistic and convincing artificial voices, raising both excitement and concern about its potential applications and implications.

Title:

Content: January 18, 11: 00
Interpol has found a new trend in fraudsters
Criminals actively use artificial intelligence technologies and fake voices to extort money, said the organization ’ s Secretary General Jürgen Stock
GENEVA, January 18.
/ TASS /.
Criminals are increasingly resorting to artificial intelligence to commit fraud, there are cases of fake voices of real people in order to extort money from their relatives.
This was stated by Interpol Secretary General Jürgen Stock, speaking at the World Economic Forum in Davos.
“Criminals are actively using artificial intelligence technologies.
We all know about deepfakes.
TASS), phishing mailings, - he said. - Now we are faced with a kind of "deepkidnapping", when the voices of real people are copied.
For example, parents may think that their daughter was taken hostage, and then it turns out that a copied voice was talking to them. "
He stressed that artificial intelligence allows criminals to commit illegal actions with greater ease and speed.
“Criminals are already actively using this, and we are left behind.
And this is not a very good position, ” said Stock.

What are some risks regarding AI voice clning?

This technology has developed rapidly in the past year, with significant advancements in learning speech nuances, allowing for more realistic voice cloning.

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

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

Voice cloning requires only minutes of speech to create a model, and AI voice cloning can be used in new content, including foreign languages.

Title:

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

How will AI Voice help educators with building courses?

What is necessary for voice cloning to work?

The technology can be used for entertainment, such as singing songs, and cloning historical figures' voices can be used for discussions with current politicians.

However, the use of voice cloning technology also raises concerns over consent and misuse, particularly in the context of scams and fraud.

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

could become a popular method of attacking banks and financial services

Criminals use voice cloning for fraud and extortion, and Interpol reports cases of fake voices being used for money.

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

could become a popular method of attacking banks and financial services

The development of voice cloning technology relies on huge amounts of data to train algorithms, and existing algorithms have limitations when dealing with non-English languages.

Title:

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

Transfer learning technology can be used to achieve quick results, but data drifting occurs when algorithms are trained on limited data, making training from scratch necessary for non-English dialects.

OpenAI's Voice Engine is a notable example of voice cloning technology, capable of cloning a voice in as little as 15 seconds, and can generate results in multiple languages.

Title:

Content: You can copy your voice in 15 seconds!
OpenAI Announces New Voice Engine Tool
▲ This technology is at risk of abuse. OpenAI is only available to partners at this stage and is not yet open to the public. (Graph / CFP)
Journalist Chan Ya-ting / General Report
American artificial intelligence development company OpenAI on Friday (29) revealed that the voice AI tool "Voice Engine", just 15 seconds of speaking sound samples, can copy the voice of the person, and the result is not limited by the sound sample language. If you speak English, this technology can use your voice to generate results in Spanish, French and other languages.
However, due to the risk of abuse, OpenAI is only available to partners at this stage and is not yet available to the public.
The New York Times and the Associated Press reported that OpenAI entered the field of speech technology, sharing test results after applying for the trademark Voice Engine, but considering the possibility of synthetic speech abuse, especially worried that the technology could be used to destroy voice authenticators such as online bank accounts, OpenAI is now taking a cautious attitude towards wider release.
OpenAI pointed out that there are significant risks in producing voice-like speech, especially in an election year when Voice Engine testing partners have agreed to regulations such as disclosing to audiences that sound is generated by AI and that the original voice must have explicit and informed consent.
In addition, OpenAI said that the company has implemented a number of security measures, including the use of digital watermarks to track the source of all the audio generated by the Voice Engine and actively monitor its usage.
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However, OpenAI's Voice Engine is not yet available to the public due to concerns about the risk of abuse and synthetic speech.

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

could become a popular method of attacking banks and financial services

Microsoft has also developed a voice cloning system called VALL-E, which can convert written texts into audio clips matching the speaker's tone and voice, using a 3-second audio sample.

Title:

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

What is necessary for voice cloning to work?

VALL-E considers room acoustics and reading style to achieve accurate simulation and has demonstrated high accuracy in simulating sound effects and surroundings.

The current state of development for voice cloning technology is rapidly advancing, with rapid improvements in AI making it easier to produce believable sounds.

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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Phonetic cloning techniques have developed rapidly, and cheap online tools enable complex audio campaigns, making it difficult for average people and even human auditors to detect fake audio campaigns.

What are some risks regarding AI voice clning?

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

Difficult to distinguish from human voice

Tom Hanks' voice was cloned for fake ads, highlighting the potential for misuse of voice cloning technology.

What are some risks regarding AI voice clning?

Law enforcement has warned of the potential misuse of AI clones, and OpenAI has implemented digital watermarks for security and requires partners to disclose AI-generated audio to audiences.

What are some risks regarding AI voice clning?

The original voice owner must give explicit consent for their voice to be cloned, and OpenAI actively monitors Voice Engine usage to prevent abuse.

Eleven Labs has developed voice cloning technology using AI models, which can clone voices in multiple languages with a 3-second sample clip, and has collaborated with celebrity heirs for voice cloning.

Title:

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

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

What is necessary for voice cloning to work?

The technology has sparked controversy and fears among actors, with Hollywood actors going on a 118-day strike over voice cloning concerns.

Eleven Labs' AI tool can produce natural-sounding and persuasive audio, and can be used in industries like publishing and gaming, as well as to create localized experiences for worldwide audiences.

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.

World

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

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

However, the use of voice cloning technology raises concerns about consent and misuse, and experts see deepfake audio technology as a growing concern for cybersecurity.

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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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Scammers use deepfake audio for telephone scams, targeting businesses, and cybersecurity experts suggest adding steps to transfer processes to prevent scams.

OpenAI is working to address voice cloning concerns, including educating the public about AI risks and conducting "red team testing" to identify potential risks.

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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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The company is also phasing out voice recognition for bank account verification and working with international partners to address voice cloning concerns.

The legal implications of voice cloning technology are complex, with concerns over copyright infringement, unauthorized use of likeness, and potential harm to individuals and society.

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Content: After the death of Lee Min-chi, "The Resurrection", the declaration after the shocking death: After I left this world...
March 16, 2024 14: 01
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After the sudden death of Li Wen last July, recently she unexpectedly "resurrected", a mainland blogger uses AI technology to simulate her filming: "Hey, how are you? I am CoCo Li Wen, I know you will be surprised or somewhat untrue, but please believe me, this is a moment of love and gratitude, because I have the opportunity to meet you through this video, in the moment I left this world, I have always felt your love and support. Your passion and trust are the most valuable assets in my music. I want to tell you that I am deeply grateful to each of you. ” There is no legal liability.
A mainland lawyer pointed out that in accordance with the provisions of the Civil Code, the blogger made a virtual film of Li Wen ’ s image and voice without authorization, which violated the rights of the deceased ’ s portrait and voice. The name, likeness, reputation, etc. of the deceased were infringed, and his spouse, children, and parents had the right to request the actor to bear civil liability according to law.
Another lawyer added that regardless of whether it is for commercial profit or not, the unauthorized use of another person's portrait may constitute an infringement of the right to portrait, and although Lee's film is not charged, it is used for the purpose of recruiting and producing films for publicity purposes, and it can also be regarded as a commercial profit.

Experts consider voice cloning a distortion of original voices, and the cloning of voices of deceased singers sparks disputes with heirs, raising questions about rights and ownership.

Title:

Content: Global News
The world today - the cloning of voices..
Is artificial intelligence threatening the future of singers?
You are now following the news of the cloning of voices.
Is artificial intelligence threatening the future of singers?
From the World News section and now we leave you with the full details
Mohammed - Abu Dhabi on Tuesday, July 4, 2023 11: 18 PM - There has been a controversy over the cloning of voices of current and deceased famous singers through artificial intelligence techniques to perform songs not performed or approved by the owners of those voices.
The Impact of Artificial Intelligence on Singing
• Critics interviewed by Dot Al Khaleej disagreed on the extent to which AI will affect the future of singers, and how much it can replace them.
• It was the latest cloning by a young composer of a fingerprint similar to the voice of Amr Diab and put through a song that caused a great confusion because some believe that it is the voice of the plateau until the famous singer company closed it on YouTube and social media platforms.
• Previously, the composer Amr Mustafa cloned a fingerprint resembling the sound of the late planet of the East Umm Kulthum, causing a dispute with her heirs, and sparked controversy among specialists who considered this an abuse of the history and voice of Umm Kulthum.
• A wide controversy also erupted after one of the specialists cloned a fingerprint resembling the voice of the late singer Abdel Halim Hafez aka Nightingale, and the use of that fingerprint in the performance of songs by the singer Amr Diab.
Big lie.
For his part, the critic specialized in music and singing, Amjad Mustafa, said that the attempts to copy the voices of the great singers through artificial intelligence is a big lie and a distortion of the voices of the great Egyptian and non-Egyptian creators.
He added that the attempt of one of the composers to clone the fingerprint of the voice of Umm Kulthum, did not result from the attempt to approach in any way the real voice of Umm Kulthum, and any attempt to clone the fingerprint of the voice of any known singer whether current or late and make him sing a modern song is only a process keeping up with the "Trend" and in line with the fashion of so-called artificial intelligence.
Amjad Mustafa also said that trying to reproduce the voice of Abdel Halim Hafez or Umm Kulthum or even Amr Diab is just a waste of time, it is better for the composer who does this to give the melody to one of the sounds on the scene.
He explained that he asked the analyst Amr Mustafa when he cloned a fingerprint that he said was the voice of Umm Kulthum, asking him to present the melody to one of the current voices that perform Umm Kulthum songs such as May Farouk or Riham Abdel Hakim.
Amjad Mustafa called on the Arab ministers of culture to meet to put an end to this problem, which he described as distorting the Arab singing wealth, because whatever sound is reproduced is just a man-made invention and can never convey the same sense of the natural human voice.
Don't threaten the voices of the singers.
He stressed that, however, artificial intelligence can not threaten the voices of real singers or replace them, because the singer is not just a voice uttering words and only, but it is a sensation, and the feeling is what explains the difference between a singer and others, there is a singer whose voice is very strong but does not reach people, while we find a singer whose voice is less in possibilities but his sense and ability to express greater reach people more.
No matter how far artificial intelligence has grown, it will not match the creation of God, otherwise each of us would have made a voice capable of singing and everything would be permissible.
Helpful on condition
While the art critic, Kariman Hrak, said that in the case of relying on artificial intelligence to evoke the image of Umm Kulthum or Abdul Halim Hafez in what is known as hologram, while we listen to their real voices, this is useful and not harmful.
She continued in statements to the site "Dot Al-Khaleej" that if the adoption of artificial intelligence in the reproduction of the voices of the late or current singers and make them sing songs that were not sung by these singers, this is a problem, because besides it offends those voices, it loses the rights of their owners, and harms the music industry and its workers, because they will be replaced by artificial intelligence tools.
She explained that if we accept this idea with the living singers if they agree to it, this is unacceptable with the late singers, because it offends the lyrical heritage and the rights of the authors and composers who participated in making those sounds.
We hope that we have succeeded in conveying the full details of the news of the cloning of voices..
Is Artificial Intelligence Threatening the Future of Artists?
In God ’ s care and protection.
You may also read.

The use of voice cloning technology for malicious purposes, such as extortion, blackmail, and impersonation, is a significant concern, and regulators are urging companies to adhere to ethical standards to prevent misinformation.

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Content: Advertisement
Technology and Science
Technical expert talks about the danger of "falsifying" sounds: "5 minutes is enough"
22-10-2023 | 23: 00
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Noufal Tonsi, sales manager at digital voice human performance services company Acapella, said on Saturday that the digital voice creation market is developing rapidly, opening up “unlimited prospects ” for developers and content makers, but warned of“ unprecedented risks ” facing society.
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On the sidelines of GITEX 2023 in Dubai, Tonsi said that “just five minutes of pure sound recorded in someone ’ s voice is enough to create a digital version of his voice, to make it easy to make him utter any words in the same language, ” noting that“ it has become easy to use the voice of any influential or famous person to fabricate facts and spread rumors. ”
The Belgian company official added that "care must be taken in dealing with the techniques of generative artificial intelligence," noting that "voice performance professionals are at risk due to the development of digital voice generation technologies."
Tunisi stated that his company does not intend to enter the market of providing digital voice creation services to individuals, which is led largely by ElevenLabs.
He urged companies operating in this market to "adhere to an advanced level of ethical standards, to protect themselves from legal accountability on the one hand, and to prevent the dissemination of misinformation on the other."
He pointed out that "Acapella" is currently working to provide the service of simultaneous audio translation of audio clips between different languages, while maintaining the same voice and performance of the speaker.
Several major companies have entered the market for voice translation services, mainly Spotify and YouTube.
Acapella ’ s digital sounds can speak more than 30 languages, including Arabic, English, French, Turkish, Spanish and Italian, and offers a feature called Voice Smileys that provides digital sounds with the ability to express different emotions, giving a human character to manufactured sounds.
Tounsi said that Acapella has worked for 22 years to build and train its own smart models capable of delivering human performance of digital voices, to serve the goals of its customers in the marketing and promotional sectors, as well as to support people of determination who are unable to speak, to voice themselves.
He pointed out that the company's work with people of determination is the only aspect of its cooperation with individuals, explaining that the company provides the visually impaired and the blind with intelligent voice assistants through its service Infovox3, which allows the user to interact with any text appearing on his computer screen, saying that "the service reads the text aloud, and then the user can interact with his voice commands with his device."
He pointed out that "Acapella" offers its services to people with speech problems by enabling them to create a digital copy of their voice through recording audio clips with a variety of performance, so that the patient uses that copy to interact with the world naturally later.
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What are some risks regarding AI voice clning?

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

could become a popular method of attacking banks and financial services

Lawmakers and regulators are calling for regulations to manage voice cloning technology, stipulate legal and illegal use, and establish effective enforcement mechanisms.

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Content: Freedom Square (Beishe Review) Policy response strategy for artificial intelligence deep counterfeiting and voice copying technology
◎ Cai Yue Ting
Deep hypocrisy and voice copying are technologies that use artificial intelligence to generate fake or manipulative media that can be used for a variety of purposes, including entertainment, education, and journalism.
If it is abused for fraud and the dissemination of false information, it will damage the reputation and rights of the individual, and it will affect social order and national security.
Because there are major potential hazards, it is necessary to formulate relevant regulations and effective management, and it can promote the healthy development of this innovative industry.
Consolidating practice cases to standardize policy measures to manage deep counterfeiting and voice copying can go hand in hand with the following aspects:
I. Regulations:
The content of the bill should include: (1) clearly stipulate the legal and illegal use of deep counterfeiting and voice copying to protect personal and national security and rights; (2) establish effective enforcement mechanisms and regular amendments to ensure the effective implementation of the law and adapt to the rapid development of technology; (3) use ethics education and advocacy; and (4) specify appropriate punitive measures.
2. Technical supervision:
(1) Establish an effective enforcement mechanism, consisting of experts with professional knowledge and technical ability, to (1) supervise the development and application of deep counterfeiting and voice reproduction technology to ensure that the use of the technology complies with laws, regulations and ethical standards; (2) adhere to the principle of minimum intervention, and strike a balance between protecting personal privacy and preventing abuse; and (3) promote the sound development of the industry.
Restrictions on use: Restrictions on the use of deep counterfeiting and voice copying technologies, especially in sensitive areas such as finance, politics, law, and medicine, and where they may have a serious impact on personal privacy.
Transparency and Authentication: (1) Require developers and users of deep counterfeiting and voice copying technologies to provide transparency to ensure that users are informed and consent to the use of their data.
(2) Establish a certification mechanism to ensure that only accredited institutions and individuals can use these technologies.
(4) Technical research: Encourage research on deep counterfeiting and voice copying technologies, especially research on detecting and preventing abuse, and research on how to protect personal privacy.
Participation, use of ethics education and public awareness: to strengthen the education of the public and related industries, and to raise awareness of the potential risks of deep counterfeiting and voice copying technology.
Authorities should provide corresponding preventive measures and education and training.
The development of deep counterfeiting and voice reproduction technology has brought many potential risks, but it is also an integral part of the country ’ s sustainable development.
This industry requires the participation of multiple stakeholders, how to ensure that these technologies are used responsibly and ethically through legal, technical and educational means, and to minimize their potential hazards, to the rapid and vigorous development of the industry is a matter of urgency.
(The author is Deputy Secretary General of Beishe, Director of Research and Development of the Institute for Information Technology)
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The development of voice cloning technology raises ethical challenges, including the need for transparency, authentication mechanisms, and restrictions on use in sensitive areas like finance.

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

could become a popular method of attacking banks and financial services

Overall, the legal and ethical implications of voice cloning technology are far-reaching, and it is essential to address these concerns through regulation, education, and advocacy to promote responsible use.

In the context of language learning, voice cloning technology can be used to generate realistic listening comprehension materials, with tools like Voice Engine able to clone a voice in 15 seconds and retain the speaker's natural accent in translation.

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Content: OpenAI introduced a tool based on artificial intelligence, which can voice the text of any person
17: 57, 31 March 2024
Voice Engine can clone your voice in as little as 15 seconds.
Photo: gzeromedia.com
Follow the latest news in social networks SUD.UA
OpenAI has introduced a new tool based on artificial intelligence Voice Engine, capable of voicing texts with the voice of any person.
This is on the OpenAI website.
In particular, having a 15-second sample of the sound of speech, the instrument can reproduce the voice of any person.
Voice Engine has the same AI model underlying the “read aloud ” feature of ChatGPT chatbot.
The tool is offered to be used to translate videos and podcasts.
Voice Engine retains the natural accent of the speaker even in translation.
Also, the developers note that Voice Engine can help people who can not read or children in learning, since natural sound is better perceived than robotic voices.
Voice Engine can be used to restore voice to patients with impaired speech apparatus.
People will be able to communicate by voicing their text queries in natural language thanks to the tool, added to OpenAI.
OpenAI created the Voice Engine in late 2022, but there is no public access to it yet.
Developers fear that it can be used to create deepfakes.
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How will educational institutions benefit from developing AI voice audio content for languages learners?

To evaluate the effectiveness of voice cloning technology in generating realistic listening comprehension materials, it is essential to consider factors such as the quality of the audio, the accuracy of the pronunciation and intonation, and the cultural nuances and emotional appropriateness of the generated speech.

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Content: Home > Web3

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

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

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

Why Do Multilingual Skills Matter?

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

Practical User Advice:

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

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

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

Using Nuanced Speech to Bridge Cultural Gaps

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

Potential Multilingual Text to Speech Applications:

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

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

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

Scalability and pricing

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

Data Privacy Is Important

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

Extending the Multilingual Communication Landscape

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

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

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

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

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

Language and Cultural Nuances

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

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

Best Practices for Using AI Voice Over Generators

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

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

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

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

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

In conclusion

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

Web3 Page: 1 | 2 | 3

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

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

Additionally, it is crucial to review the output of the voice cloning technology to ensure that it meets the desired standards, and to customize the settings and seek input from native speakers to ensure that the generated speech is realistic and effective.

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 also raises ethical concerns, such as the potential for misuse and the need for protective protocols to ensure speaker approval and prevent the spread of disinformation.

Title:

Content: What we know about Vall-E 2
According to these claims, Microsoft has developed a new artificial intelligence speech generator that is so adept that it can do more harm than good.
VALL-E 2 voices the text with the voice of a particular person, for which he needs only a few seconds of audio recording of the speech of this person.
Midjourney artificial intelligence has its own version of who is the president of the United States, and it ’ s not Biden
Microsoft researchers said that VALL-E 2 "has reached human parity."
It is capable of generating "accurate, natural speech by the voice of the original announcer, which can be compared to a human voice."
In other words, the new AI voice generator is convincing enough to be mistaken for a living person.
This opens up potentially dangerous opportunities for unscrupulous people.
VALL-E 2 is the latest achievement in speech models of neural codecs and marks an important milestone in text-to-speech (TTS) synthesis.
[...] VALL-E 2 consistently synthesizes high-quality speech, even for sentences that traditionally cause difficulties due to their complexity or repetitive phrases,
The developers write.
We ’ ve already seen examples of neural networks that are able to clone voices based on a multi-second recording, but Microsoft says its technology is superior to anything that has been on the market so far.
"Our experiments conducted on the LibriSpeech and VCTK datasets have shown that the VALL-E 2 is superior to previous TTS-systems [...] in reliability, naturalness and similarity to the speakers.
This is the first of its kind system that has reached parity with a person on these indicators, ” the article says.
The quality of the VALL-E 2 results depends on the length and quality of the speech prompts, as well as environmental factors such as background noise.
See also Google allows you to make your own copy of a celebrity to chat with her in a chatbot
What happens next with the technology
Despite its capabilities, Microsoft will not release VALL-E 2 to the public due to potential abuse risks.
Recently, we have seen a wave of fraud – both at the level of ordinary users, who are deceived by fraudsters, forging the voice of their relatives or friends, and at the level of state leaders who “call ” their voters, and celebrities who allegedly advertise cryptocurrencies and various fraudulent schemes in advertising.
VALL-E 2 is a research project.
We do not plan to include VALL-E 2 in the product or expand access to it for the public.
This may carry potential risks of abuse of the model, such as faking voice identification or impersonating a particular speaker,
The creators of the technology write.
But they suggest that artificial intelligence technology may find practical applications in the future.
VALL-E 2 can synthesize a language that retains the identity of the speaker, and can be used for educational training, entertainment, journalism, author content, accessibility features, interactive voice response systems, translation, chatbots, and more.
But to do this, you need to add a special protective protocol that will ensure that the speaker approves the use of his voice.

What are some risks regarding AI voice clning?

Ultimately, the development and use of voice cloning technology require a careful consideration of the potential benefits and risks, as well as a commitment to responsible innovation and ethical practice.

What are some risks regarding AI voice clning?