Voice cloning technology, a type of artificial intelligence, can replicate a person's voice nearly indistinguishably from the real thing.

This technology has various uses, including entertainment and education, but also raises concerns about potential misuse, such as extortion through AI voice cloning.

Voice cloning technology uses large amounts of a person's recordings and natural language processing to analyze and replicate their voice, and can be adjusted to aid low-proficiency language learners.

Optimizing voice cloning technology requires huge amounts of data and techniques like transfer learning, but existing algorithms struggle with non-English languages and data drifting.

Integrating voice cloning technology with language learning platforms requires high-quality audio samples and advanced algorithms, with companies like ElevenLabs and OpenAI driving development.

The technology has significant legal implications and requires regulation to prevent scammers from misusing it to spread misinformation and commit fraud.

To address concerns surrounding voice cloning, strict regulations and public education are needed, and companies like ElevenLabs are committed to responsible use and respecting creators' rights.

The development of voice cloning technology has sparked controversy in the entertainment industry, threatening traditional voice actors' livelihoods, and has led to calls for regulation.

The FCC has adopted a ruling prohibiting AI-generated voices without consent under TCPA, and state attorneys general have new tools to combat voice cloning scams.

Regulatory frameworks for voice cloning technology are essential, requiring enforcement mechanisms, technical supervision, and restrictions on sensitive areas like finance.

Generating high-quality voice clones for low-proficiency Listening Comprehension materials requires advanced machine learning algorithms, large datasets, and high-quality speech prompts.

Voice cloning technology, a type of artificial intelligence, can replicate a person's voice nearly indistinguishably from the real thing.

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

Difficult to distinguish from human voice

This technology has various uses, including entertainment and education, but also raises concerns about potential misuse, such as extortion through AI 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

Voice cloning technology uses large amounts of a person's recordings and natural language processing to analyze and replicate their voice, and can be adjusted to aid low-proficiency language learners.

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

Enhance language comprehension
Enhance pronunciation abilities

What is necessary for voice cloning to work?

Optimizing voice cloning technology requires huge amounts of data and techniques like transfer learning, but existing algorithms struggle with non-English languages and data drifting.

Integrating voice cloning technology with language learning platforms requires high-quality audio samples and advanced algorithms, with companies like ElevenLabs and OpenAI driving development.

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I'm sorry.
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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.

The technology has significant legal implications and requires regulation to prevent scammers from misusing it to spread misinformation and commit fraud.

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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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

To address concerns surrounding voice cloning, strict regulations and public education are needed, and companies like ElevenLabs are committed to responsible use and respecting creators' rights.

Title:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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.

The development of voice cloning technology has sparked controversy in the entertainment industry, threatening traditional voice actors' livelihoods, and has led to calls for regulation.

Title:

Content: Home > Industry > Key words > AI dubbing latest information > Text
The voice coil boss authorized AI voice drama "mortal fairy biography" caused controversy
2024-04-30 16: 42 · Source: Webmaster 's House
Webmaster 's House (ChinaZ.com) April 30 news: Recently, the well-known voice actor Zhao Qianjing authorized his voice to the AI audio drama "The Legend of Mortal Immortals".
The qin language engine developed by TME Tianqin Lab uses Zhao Qianjing ’ s voice to train a multi-tone AI human voice, which achieves a one-person multi-angle dubbing effect.
The innovation, once announced, caused widespread controversy on social platforms.
Some netizens expressed disappointment, they called themselves "clowns", pointed out that they had just supported the action against AI violating the rights of human voice actors, and in an instant, there were dubbing artists who authorized their voices to AI.
These netizens believe that the one-time sale of sound may damage the long-term interests of voice actors, and because of the extremely low cost and high efficiency of AI sampling, this may pose a threat to the livelihood of traditional voice actors.
On the other hand, some netizens from the perspective of the development of dubbing art and industry, emphasized the irreplaceability of human dubbing.
They believe that the artistic and emotional expression contained in traditional dubbing is difficult for AI to fully replicate.
In addition, empowering the voice to AI may also compress the living space of new people, which is not conducive to the fresh blood injection of the industry.
The controversy gained more attention when the Beijing Internet Court handed down the country ’ s first “AI Voice Infringement Case ” on April 23.
The cause of the case was a dubbing artist who discovered that his voice had been AI and sold without authorization, and that his voice had been used for film and video commentary and game commentary.
According to Article 1023 of the Civil Code of the People ’ s Republic of China, the voice of a natural person enjoys similar protection as the right to portrait, provided that the voice is recognizable.
In this case, the defendants denied infringement, arguing that the plaintiff ’ s AI-based voice lost its recognisability with the soundtrack itself.
However, after the court investigation and the parties' statements, the judge held that the plaintiff's AI voice maintained a high degree of recognizability, and connected with the plaintiff, and finally ruled that the defendant violated the plaintiff's rights, requiring the defendant to apologize in writing and compensate 250,000 yuan in economic losses.
In summary, the rapid development of AI technology has brought challenges and opportunities to the dubbing industry.
The industry needs to find a balance, so that AI technology and traditional dubbing art can coexist, complement and progress together.
At the same time, ensuring that the rights and interests of voice actors are properly protected and their voices and labor are reasonably rewarded is an important issue that the entire industry needs to face.
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The FCC has adopted a ruling prohibiting AI-generated voices without consent under TCPA, and state attorneys general have new tools to combat voice cloning scams.

Title:

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.

Regulatory frameworks for voice cloning technology are essential, requiring enforcement mechanisms, technical supervision, and restrictions on sensitive areas like finance.

Title:

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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Editor 's Choice

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

could become a popular method of attacking banks and financial services

Generating high-quality voice clones for low-proficiency Listening Comprehension materials requires advanced machine learning algorithms, large datasets, and high-quality speech prompts.

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Text to Speech AI Tool ElevenLabs Completes Testing Stage, Supports 28 Languages including Chinese
2023 / 8 / 24 12: 16: 10 Source: IT House Author: Yuanyang Editor: Yuanyang
ElevenLabs, an AI text-to-speech company, recently announced the expansion of its platform to launch a new text-to-speech model “Eleven Multilingual v2 ” that supports 28 languages and automatically recognizes 28 languages and converts text to speech.
The expansion marks the formal completion of the testing phase of the platform, making it available for businesses and individuals.
The platform uses a new self-developed AI model that can automatically recognize multiple languages, including Chinese, and generate speech with “rich emotions. ”
Users can use the platform ’ s sound cloning tool to speak in nearly 30 languages without having to enter text.
Mati Staniszewski, CEO and co-founder of ElevenLabs, said in a statement: “ElevenLabs ’ dream is to make all content available in any language and in any voice.
With this release, we are one step closer to realizing this dream, enabling all dialects to have human-level AI voices.
Our text-to-speech generation tools help all creators get high-quality voice content. ”
But ElevenLabs has yet to address another contentious issue surrounding its platform and others like it: the threat to the dubbing industry.
A little over a month ago, ElevenLabs closed a $19 million Series A round led by entrepreneurs Nat Friedman and Daniel Gross and a16z (Andreessen Horowitz), valuing the company at close to $100 million.
Languages now supported by Elevenlabs include:
Chinese, Korean, Dutch, Turkish, Swedish, Indonesian, Tagalog, Japanese, Ukrainian, Greek, Czech, Finnish, Romanian, Danish, Bulgarian, Malay, Slovak, Croatian, Advanced Arabic and Tamil.
English, Polish, German, Spanish, French, Italian, Hindi and Portuguese were and are supported.
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