"Voice cloning technology, such as VALL-E 2, can generate realistic speech with just a few seconds of audio recording, posing both exciting opportunities and concerns about its potential misuse."

"Voice cloning technology, like VALL-E 2, has potential uses in various applications, but its release to the public is restricted due to risks of abuse, such as faking voice identification or impersonating a particular speaker."

Voice cloning technology, such as VALL-E 2, has various potential uses including educational training, entertainment, and accessibility features, but requires a special protective protocol to ensure the speaker's approval.

"Voice cloning technology has the potential to be used for various purposes, including entertainment, accessibility, and scams, and raises concerns about its potential misuse, particularly in regards to fraud, misinformation, and election influence."

"Voice cloning technology can generate highly realistic voice models using just 10-30 minutes of sound material, with potential uses including entertainment, accessibility, and education, but also raises concerns about AI fraud and scams, particularly targeting the elderly, with a success rate of nearly 100%."

"Voice cloning technology, such as VALL-E 2, has raised concerns due to its ability to generate highly realistic speech that can be used for malicious purposes, including scams and misinformation."

Voice cloning technology has the potential for abuse, including fraud and impersonation, which is why it is not being released to the public, despite its capabilities.

The development of voice cloning technology like VALL-E 2 raises concerns about the potential misuse of synthesized voices, emphasizing the need for special protective protocols to obtain speaker approval.

"Microsoft's VALL-E voice cloning technology can simulate human voices with high accuracy, raising concerns about potential scams and fraud, particularly in the context of telephone fraud."

Voice cloning technology, which can copy a human voice in 15 seconds, raises concerns about its potential for misuse, including fraud and spreading misinformation, and highlights the need for careful consideration of its ethical and legal implications.

"Voice cloning technology, like VALL-E 2, has the potential for fraud and abuse, such as impersonating individuals or creating fake voice identifications, leading its creators to restrict public access."

"Voice cloning technology, like Microsoft's VALL-E, can simulate human voices with high accuracy, raising concerns about potential misuse, such as scam calls."

A common use of voice cloning technology is to copy a human voice, which can be used for various purposes including entertainment, accessibility, and malicious activities such as fraud and spreading misinformation.

A common use of voice cloning technology is for scams, where scammers use cloned voices to trick victims into believing they are talking to someone they know.

"Voice cloning technology is being used to generate realistic and interactive conversations, which can be used for malicious purposes such as scamming and spreading false information."

VALL-E 2, a new AI speech generator, can clone voices realistically with just a few seconds of audio, reaching human parity and raising concerns about potential misuse.

Microsoft's new neural network, VALL-E, can simulate any human voice after listening to it for only three seconds, enabling realistic voice cloning.

OpenAI's new speech synthesis function can clone a human voice in 15 seconds, raising concerns about potential misuse for fraud and misinformation.

Realistic voice cloning is made possible by AI-powered speech synthesis technology, which can produce a reliable sound from a short recording, but its development and use must be carefully considered to prevent harm and ensure responsible application.

OpenAI's new speech synthesis function enables realistic voice cloning in just 15 seconds, raising both excitement and concern about its potential uses and implications.

"Amnix International is based in the United Arab Emirates, Dubai."

"Voice cloning technology, such as VALL-E 2, has the potential to be used for malicious purposes, including scams and impersonation, due to its ability to generate highly realistic and convincing speech in the voice of a particular person."

"Voice cloning technology poses risks of fraud, impersonation, and abuse, including forging voices of relatives or friends, and impersonating state leaders or celebrities to advertise fraudulent schemes."

The development of voice cloning technology, such as Microsoft's VALL-E, raises concerns about its potential negative uses, including scamming and impersonation, as it can accurately simulate any human voice after listening to it for only three seconds.

Voice cloning technology has the potential for negative uses, including fraud, spreading misinformation, and influencing election outcomes.

"Voice cloning technology has the potential for negative uses, including spreading misinformation and scams, which is why OpenAI has not made its speech synthesis technology publicly available."

The technology used to create synthetic voices is based on neural networks, as demonstrated by Microsoft's VALL-E 2, which can clone voices with high quality and has surpassed previous text-to-speech systems.

Microsoft's VALL-E project uses neural networks to simulate human voices, raising both excitement and concern about its potential uses and implications.

The technology used to create synthetic voices is a speech synthesis function developed by OpenAI, utilizing artificial intelligence to copy human voices in just 15 seconds.

OpenAI has developed a speech synthesis technology that can create synthetic voices, requiring only a short recording to generate a reliable sound.

The technology used to create synthetic voices is a speech synthesis function developed by OpenAI, which can copy human voices in just 15 seconds.

Individuals can protect themselves from voice cloning scams by being cautious of unusual audio content, verifying authenticity, and understanding the capabilities and limitations of voice cloning technology.

Individuals can protect themselves from voice cloning scams by fact-checking and verifying information, and being cautious with unknown calls.

Microsoft's VALL-E neural network can accurately simulate human voices after listening for just three seconds, raising potential applications and concerns in areas like entertainment, accessibility, and scams.

The technology used for voice mimicry is a speech synthesis function developed by OpenAI, which can copy a human voice in just 15 seconds.

OpenAI has developed a speech synthesis technology that can generate a reliable sound from a short recording, which is related to voice mimicry and has various applications, including text-to-speech AI tools.

The technology used for voice mimicry is a speech synthesis function developed by OpenAI, which can copy human voices in just 15 seconds.

Artificial intelligence is used to simulate the dead by modeling a person electronically using video, audio, and digital text, which can be used for voice mimicry.

"Voice cloning tools, such as VALL-E 2, can generate highly realistic and natural speech in the voice of a particular person, using just a few seconds of audio recording. This technology has significant potential for various applications, but also raises concerns about its potential misuse."

Voice cloning tools, such as VALL-E 2, can generate high-quality speech that is similar to human speech, and their quality depends on the length and quality of the speech prompts and environmental factors.

"Voice cloning tools, like VALL-E 2, can generate realistic voice impersonations, posing risks of abuse, such as faking voice identification or impersonation, and may have practical applications in the future."

Voice cloning tools, such as VALL-E 2, can synthesize a language that retains the identity of the speaker and can be used for various purposes including educational training, entertainment, and accessibility features.

Microsoft's new AI project, VALL-E, can simulate any human voice after listening to it for just three seconds, raising both excitement and concern about its potential applications and implications.

AI models for voice cloning are trained on data including video, audio, and digital text.

AI models for voice cloning are trained using a person's videos, audio clips, and written texts to generate a virtual character or avatar that can mimic their voice and language patterns.

AI models for voice cloning can be trained with less than a minute of audio data.

"The data used to train AI models for voice cloning includes audio clips of the individual's voice, which are then used to create a realistic speaking voice through an algorithm."

The data used to train AI models for voice cloning can be existing videos or podcasts of somebody online, which can be used to create an uncanny resemblance of the person's voice and facial expressions.

Companies can prevent identity fraud by implementing KYC protocols, securing data storage, using robust authentication methods, providing regular training, monitoring transactions, and verifying vendors.

The AI voice cloning tool by ElevenLabs can clone voices with just a three-second sample clip.

"A few seconds of audio recording are needed to clone someone's voice using VALL-E 2, a new artificial intelligence speech generator."

Microsoft's VALL-E neural network can clone a person's voice after listening to it for just three seconds, raising both excitement and concern about its potential uses and misuses.

"Only 15 seconds of audio is needed to clone someone's voice using OpenAI's speech synthesis technology."

OpenAI's new speech synthesis function can clone a human voice in 15 seconds, but its public release and potential applications are still undisclosed.

A potential misuse of AI voice clones, as warned by law enforcement, is using them to extort money from loved ones over the phone.

"Voice cloning technology, such as VALL-E 2, can generate realistic speech with just a few seconds of audio recording, posing both exciting opportunities and concerns about its potential misuse."

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?

What is necessary for voice cloning to work?

"Voice cloning technology, like VALL-E 2, has potential uses in various applications, but its release to the public is restricted due to risks of abuse, such as faking voice identification or impersonating a particular speaker."

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

could become a popular method of attacking banks and financial services

Voice cloning technology, such as VALL-E 2, has various potential uses including educational training, entertainment, and accessibility features, but requires a special protective protocol to ensure the speaker's approval.

"Voice cloning technology has the potential to be used for various purposes, including entertainment, accessibility, and scams, and raises concerns about its potential misuse, particularly in regards to fraud, misinformation, and election influence."

Title:

Content: Alert
Baolin tea room poisoning case + 1! 13-year-old girl had eaten cake cake 30 cases of the latest situation exposed
A drone was launched to take pictures of Ejima Island in Kinmen! The Ministry of Finance has spoken.
New evidence of Po Lin tea room poisoning case?
Wang Pi Sheng reveals that he went to the "substitute chef's house" for inspection this day.
Open AI Launches Speech Synthesis in 15 Seconds, Threatening Society Still Undisclosed
OpenAI has launched a speech synthesis function that can copy a human voice in just 15 seconds, but it has not yet been publicly released! OpenAI has recently developed a new artificial intelligence technology, claiming that users can quickly copy an AI voice by uploading the voice to an app.
However, the application of this technology can become a tool for fraud, spreading misinformation, and even influencing the outcome of global elections.
AI Voice Technology Undisclosed
The Guardian reported that OpenAI has developed an artificial intelligence program for speech synthesis, which requires only 15 seconds of recording to generate a reliable sound.
However, for the sake of stricter censorship, it is still not possible to publish it publicly and to prevent it from spreading misinformation about elections around the world.
In 2022, OpenAI developed ChatGPT as a text-to-speech AI tool, but only a portion of its powerful features were made public to avoid harm to society.
Today, speech synthesis technology has entered the application stage, and OpenAI will be released to the public more carefully in the future.
OpenAI said in a blog post that they want to take responsibility for speech synthesis technology and start a dialogue about how society can adapt to new AI capabilities, and that based on the results of the survey, they will also make more informed decisions about the technology.
Protection of user information and privacy
According to Al Jazeera, OpenAI emphasizes that the application of the speech synthesis technology can only ensure that users knowingly record their own voice in the program and prevent others from creating sounds similar to those of well-known people.
In addition, OpenAI is also working with partners from the government and the private sector, looking forward to receiving feedback from them in the process of creating new technologies.
In addition, the AI program has implemented a number of security measures, including adding watermarks to track voice sources and proactively monitoring how it is used to protect users ’ privacy.
[More details, see here.
ChatGPT OpenAI User Voice Security Privacy
Extended reading
ChatGPT is more free to use without registration
The growing importance of AI security, the United Kingdom and the United States announce a joint venture to develop models
OpenAI opens up ChatGPT to log in without registration
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Open AI Launches Speech Synthesis in 15 Seconds, Threatening Society Still Undisclosed
OpenAI has launched a speech synthesis function that can copy human voices in just 15 seconds, but it has not yet been publicly released! OpenAI recently developed a new artificial intelligence technology, claiming that users upload voice applications …
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What are some risks regarding AI voice clning?

"Voice cloning technology can generate highly realistic voice models using just 10-30 minutes of sound material, with potential uses including entertainment, accessibility, and education, but also raises concerns about AI fraud and scams, particularly targeting the elderly, with a success rate of nearly 100%."

Title:

Content: Be careful! AI face swindle can generate half an hour sound files using only photos and generate modules.
▲ Recently, the mainland has reported the "AI face change" fraud, and the public needs to pay more attention.
(Schematic / CFP)
Journalist Wei Youde / Comprehensive Report
AI technology is gradually integrated into the lives of modern people. However, fraud groups have also begun to use high-tech crimes, pretending to be friends and family with AI face changing technology, coupled with the sound module of Mr. Zeng, to defraud the victims through video calls.
Recently, it has been reported that technology executives in the mainland have been defrauded by millions of renminbi, and more than 900,000 yuan has not been recovered, making the outside world more concerned about the new type of "AI fraud".
▲ AI technology is changing, and even the voice of a real person can be simulated in a few days. (Graphic / CFP)
At present, AI face changes can be seen everywhere, and in the short video (short video, the same below) platform, many users have experienced the freshness brought by face changes.
This technology is also becoming more and more mature, just by providing a photo, you can become the person in the video, or directly generate a video that will blink and open your mouth.
The online user, who goes by the pseudonym "Seven Seven", uses AI to generate videos. He says that he can produce videos that move his eyes and mouth just by providing a clean front photo with a clean background. "If you provide text, you can also put the mouth shape of the person in the video up and play it continuously for one minute."
"If the length of the film is shorter and the resolution of the screen is not high, the price can be reduced even further, even for a few dollars."
In addition to the increasing popularity of AI face changes, it is also more and more common to use AI to synthesize or copy sounds.
The merchants who copied the sound with AI revealed that they only need to provide a period of 10 minutes to 30 minutes of sound material, requiring no noise, and they can generate a proprietary model in about 2 days. "After entering any text, the sound is the voice of this person. In general, the longer the material is provided, the higher the final similarity."
For the increasing number of AI fraud cases, including "Beijing Anti-Fraud" in various platforms, "the success rate of fraud is close to 100%", at the same time, the official also reminded the public that the general public is not strong in the identification of new technology, this new AI fraud to the elderly is a challenge. Do not disclose your identity card, bank card, verification code and other information (information). "
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What are some risks regarding AI voice clning?

What is necessary for voice cloning to work?

"Voice cloning technology, such as VALL-E 2, has raised concerns due to its ability to generate highly realistic speech that can be used for malicious purposes, including scams and misinformation."

What are some risks regarding AI voice clning?

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

could become a popular method of attacking banks and financial services

Voice cloning technology has the potential for abuse, including fraud and impersonation, which is why it is not being released to the public, despite its capabilities.

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 like VALL-E 2 raises concerns about the potential misuse of synthesized voices, emphasizing the need for special protective protocols to obtain speaker approval.

What are some risks regarding AI voice clning?

"Microsoft's VALL-E voice cloning technology can simulate human voices with high accuracy, raising concerns about potential scams and fraud, particularly in the context of telephone fraud."

Title:

Content: • Text size
News feed
Today, 14: 37
418
Today, 14: 37
418
Photo: en.oxu.az
“Fraudsters will be able to call the voice of your mother ”: Microsoft has created a new neural network
Microsoft has introduced a new project in the field of artificial intelligence.
The development called VALL-E can very accurately simulate any human voice, after listening to it for only three seconds, BaigeNews.kz reports with reference to IChip.
Moreover, artificial intelligence is able to imitate a person while preserving both the timbre and the emotional coloring of his voice.
Positioned as a language model of the neural codec development relies on EnCodec technology.
VALL-E was taught at the LibriLight library, which contains about 60,000 hours of speech received from more than 7,000 people.
However, for now this is all exclusively speech in English, so domestic telephone fraudsters will still have to wait before launching a mass call to residents of the post-Soviet space.
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What do cybersecurity experts believe about the use of synthesized voice?

could become a popular method of attacking banks and financial services

Voice cloning technology, which can copy a human voice in 15 seconds, raises concerns about its potential for misuse, including fraud and spreading misinformation, and highlights the need for careful consideration of its ethical and legal implications.

What are some risks regarding AI voice clning?

"Voice cloning technology, like VALL-E 2, has the potential for fraud and abuse, such as impersonating individuals or creating fake voice identifications, leading its creators to restrict public access."

What are some risks regarding AI voice clning?

"Voice cloning technology, like Microsoft's VALL-E, can simulate human voices with high accuracy, raising concerns about potential misuse, such as scam calls."

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

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

Difficult to distinguish from human voice

A common use of voice cloning technology is to copy a human voice, which can be used for various purposes including entertainment, accessibility, and malicious activities such as fraud and spreading misinformation.

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

A common use of voice cloning technology is for scams, where scammers use cloned voices to trick victims into believing they are talking to someone they know.

Title:

Content: Technology

AI-enabled scams will proliferate

Ultra-realistic digital trickery will help fraudsters deceive people on an entirely new scale

Jeff Clune is an associate professor of computer science at the University of British Columbia and Canada CIFAR AI Chair at the Vector Institute.

(This illustration was created by Maclean’s art director Anna Minzhulina using the generative AI image program Imagine. Minzhulina spent weeks feeding prompts into the program, inspired by the essay.)

Money-grabbing scams have been happening for longer than we can remember: con artistry, Ponzi schemes, online phishing, even snail mail gambits. But the advent of more sophisticated artificial intelligence will soon make these tricks far more common, complex and convincing. Knowing who or what to trust online is about to get much more challenging—and we had better be prepared.

Photographs and videos used to be one way of verifying if things are true. Now, AI programs have opened the door to forms of scamming that are much harder to detect. Criminals can simply use software like Midjourney or DALL-E 2 to generate any kind of realistic photos. AI can also mimic someone’s voice, and soon AI-generated videos will be able to clone their appearances and facial expressions too. There are already deepfakes of Elon Musk telling people to invest their money in crypto, Tucker Carlson promoting new trading platforms and Ron DeSantis appearing in an episode of The Office as Michael Scott. We are losing our core methods of verification in ways most of us could not even have imagined just three years ago.

We have to prepare to face elaborate scams that take advantage of our trust. Picture this: in the near future, you might receive a video call from a family member who is asking for money because they are in a tight spot. It probably would not seem possible that you are talking to a deepfake, but this type of trickery—though still rare—is already spreading. Scammers can easily find existing videos or podcasts of somebody online and train an AI on that voice and facial expressions to create an uncanny resemblance. Because it is already possible to imitate my voice on a voice call, I have created a secret password for my family so we can verify each others’ identity if we ever get suspicious of each other over the phone.

The quantity of AI scams will also increase. Back in the ’80s, people would occasionally receive spam letters in snail mail, but those attempts were few and far between because con artists did not want to pay for paper and postage. Email removed the cost of sending mail, and the number of attempted scams skyrocketed. Just like email did a few decades ago, AI is making scamming far easier and cheaper. This could enable disruptive levels of manipulation in the near future. Rather than spending hours trying to defraud one person or paying 1,000 scam employees to work 40-hour weeks, a single scammer could train an AI model to deceive 100 million people simultaneously.

AI-generated, human-sounding robo-calls will contact millions of people at once. Instead of listening to a recorded message, the person will carry on a back-and-forth conversation without realizing the person on the other end of the line is not human. AI scammers will impersonate police officers or civil servants and ask for donations to certain charities, for example. Such scams will also be politically motivated—like an AI calling every Canadian to feed them false information about a political figure, or dictators flooding information channels with fake videos, comments, likes and emojis that subtly, yet relentlessly, repeat the party line. Criminals will wield AI to disrupt finance markets by pumping up worthless penny stocks or driving down the value of other stocks with fake news.

For now, scammers still need to be tech-savvy to create powerful AI-driven schemes. But in technology, what is hard now will be easy soon. As we develop better and more user-friendly AI software, a 12-year-old kid might be able to orchestrate a worldwide phishing attempt from his or her bedroom. Once it becomes cheap, quick and easy to program something that is convincingly human, we are in trouble. It will become incredibly difficult to know which information is trustworthy. Unless we invent technological and sociological solutions to these problems, I am afraid that we will soon not be able to trust most of what we see online, and that makes me deeply concerned about the future of our information landscape.

As we prepare for AI scams to proliferate, the best advice I can offer is for people to seek out and hold onto the sources they trust most—whether that is the New York Times or a particular reporter. But even then they must make sure they are in fact getting information from that source. We can also protect ourselves from scams by better understanding what technology can and cannot do. From now on, we should always second-guess what we see in text, websites and photos. Deepfakes are still rare, and most videos are trustworthy, but that will likely change. If a video seems surprising, do an independent search to see if people are reporting that it is fake. And if you have been scammed, tell others how it happened, so that they do not also fall prey.

Scams work best when they pull on heartstrings—and humans tend to relate and respond to other humans, especially those they know and trust. The better AI can impersonate a flesh-and-blood person, the more turmoil we can expect. As the cost of deception slides towards zero, we will need to build our individual and societal immune systems to handle an army of new threats. As in the real world, an ounce of prevention is worth a pound of cure. The best vaccination for scams is knowledge and a sizable dose of skepticism.

We reached out to Canada’s top AI thinkers in fields like ethics, health and computer science and asked them to predict where AI will take us in the coming years, for better or worse. The results may sound like science fiction—but they’re coming at you sooner than you think. To stay ahead of it all, read the other essays that make up our AI cover story, which was published in the November 2023 issue of Maclean’s.

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FILED UNDER:

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

could become a popular method of attacking banks and financial services

"Voice cloning technology is being used to generate realistic and interactive conversations, which can be used for malicious purposes such as scamming and spreading false information."

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

VALL-E 2, a new AI speech generator, can clone voices realistically with just a few seconds of audio, reaching human parity and raising concerns about potential misuse.

What are some risks regarding AI voice clning?

What is necessary for voice cloning to work?

Microsoft's new neural network, VALL-E, can simulate any human voice after listening to it for only three seconds, enabling realistic voice cloning.

What is necessary for voice cloning to work?

OpenAI's new speech synthesis function can clone a human voice in 15 seconds, raising concerns about potential misuse for fraud and misinformation.

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

Realistic voice cloning is made possible by AI-powered speech synthesis technology, which can produce a reliable sound from a short recording, but its development and use must be carefully considered to prevent harm and ensure responsible application.

What are some risks regarding AI voice clning?

What is necessary for voice cloning to work?

OpenAI's new speech synthesis function enables realistic voice cloning in just 15 seconds, raising both excitement and concern about its potential uses and implications.

What are some risks regarding AI voice clning?

"Amnix International is based in the United Arab Emirates, Dubai."

Title:

Content: United Arab Emirates, Dubai: AMNX International, a leader in integrated digital solutions and services, is launching innovative content-generating AI solutions – an advanced technology that integrates the potential of content-generating AI and conversational AI together.
The innovative solutions combine artificial intelligence, machine learning and natural language processing, enabling them to enhance operational efficiency and pave the way for the future where intelligent systems can evolve and innovate on their own.
It is noteworthy that the artificial intelligence for conversation is developed through a writing platform that does not need programming codes, and allows mutual communication between humans and applications in a way that achieves continuous improvement in the performance and knowledge of the virtual assistant.
The solutions are also equipped with advanced capabilities that allow them to discern purpose, derive context, and identify emotions – which means achieving a unique conversational experience.
Conversational AI technologies excel in knowledge, vision, search and voice processing, and these features allow for intelligent recommendations, accurate search and image recognition with high levels of accuracy, as well as voice-based verification.
These technologies can seamlessly integrate with robotic process automation platforms and APIs, allowing for precise communication with core business applications.
The combination of conversational AI and content-generated AI enhances the ability of conversational AI to give more diverse answers closer to natural response.
Content-generated AI technologies include systems that can create new content based on the patterns it learns from structured and non-structured data, so that these models provide answers that mimic human language, understand context, and formulate coherent texts related to the topic.
By using content-generating AI within a conversational AI framework, systems can better understand the finer aspects of language, maintain the interconnected context during the conversation, and provide more interactive and human-like answers.
This integration enables conversational AI to more effectively simulate natural dialogues and meet the needs of a wide range of users across various applications.
Walid Juma, CEO, Amkins International, said: “Our generative conversation AI solutions represent a powerful combination of cutting-edge technologies that aim to revolutionize organizational interactions.
It serves as an engine for NLP that supports more than 45 languages, meaning it will play a crucial role in the field of intelligent virtual assistant.
These solutions are a testament to our mission to boost productivity and achieve organisational satisfaction in the transformation journey. ”
Organizations will be able to significantly improve their interaction with users, enhance efficiency, accuracy, and save time and cost by leveraging dialogue automation powered by the potential of content-generating AI.
This integration allows answers to be generated automatically for a wide range of situations and forms, making it easier to handle common questions and reducing the need for manual handling or training.
In the field of human resources, conversational AI can facilitate the process of recruiting and training new employees, as well as conducting surveys.
It improves IT support office operations and boosts sales by improving customer relationship management capabilities and product visualizations.
It can transform administrative and financial processes by simplifying expense handling, invoice processing and detailed reporting.
Amid rapid changes in organizational efficiency, AMNX International renews its commitment to empowering organizations in the digital transformation journey, a commitment that is reflected in the delivery of practical solutions that redefine operational standards.
Prioritizing productivity and user satisfaction supports AMNX International ’ s drive to streamline operations and achieve success across industries.
# Company Data
- Done.

"Voice cloning technology, such as VALL-E 2, has the potential to be used for malicious purposes, including scams and impersonation, due to its ability to generate highly realistic and convincing speech in the voice of a particular person."

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

could become a popular method of attacking banks and financial services

"Voice cloning technology poses risks of fraud, impersonation, and abuse, including forging voices of relatives or friends, and impersonating state leaders or celebrities to advertise fraudulent schemes."

What are some risks regarding AI voice clning?

The development of voice cloning technology, such as Microsoft's VALL-E, raises concerns about its potential negative uses, including scamming and impersonation, as it can accurately simulate any human voice after listening to it for only three seconds.

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

could become a popular method of attacking banks and financial services

What is necessary for voice cloning to work?

Voice cloning technology has the potential for negative uses, including fraud, spreading misinformation, and influencing election outcomes.

What are some risks regarding AI voice clning?

"Voice cloning technology has the potential for negative uses, including spreading misinformation and scams, which is why OpenAI has not made its speech synthesis technology publicly available."

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

The technology used to create synthetic voices is based on neural networks, as demonstrated by Microsoft's VALL-E 2, which can clone voices with high quality and has surpassed previous text-to-speech systems.

Microsoft's VALL-E project uses neural networks to simulate human voices, raising both excitement and concern about its potential uses and implications.

What are some risks regarding AI voice clning?

The technology used to create synthetic voices is a speech synthesis function developed by OpenAI, utilizing artificial intelligence to copy human voices in just 15 seconds.

OpenAI has developed a speech synthesis technology that can create synthetic voices, requiring only a short recording to generate a reliable sound.

What is necessary for voice cloning to work?

The technology used to create synthetic voices is a speech synthesis function developed by OpenAI, which can copy human voices in just 15 seconds.

Individuals can protect themselves from voice cloning scams by being cautious of unusual audio content, verifying authenticity, and understanding the capabilities and limitations of voice cloning technology.

Individuals can protect themselves from voice cloning scams by fact-checking and verifying information, and being cautious with unknown calls.

Title:

Content: Scammers can use AI tools to clone the voices of you and your family—how to protect yourself

A robocall impersonating President Joe Biden urged New Hampshire voters not to participate in Tuesday's presidential primary — and it probably won't be the last AI voice scam this election season.

"Of course, this will be used by foreign nation states just like the trolling farms they already have. This is just another weapon in the arsenal," Adrianus Warmenhoven, a cybersecurity expert at NordVPN, tells CNBC Make It.

The fraudulent robocall begins by saying, "What a bunch of malarkey," in a voice that sounds like President Biden's, according to NBC News. The call then instructs recipients to "save your vote for the November election" and refrain from participating in the nation's first presidential primary, which is when voters choose which candidate they would like to be their political party's nominee in the general election.

New Hampshire's Attorney General's office says it has launched an investigation following a series of complaints about the robocalls.

"Although the voice in the robocall sounds like the voice of President Biden, this message appears to be artificially generated based on initial indications," the attorney general's office said in a Jan. 22 statement. "These messages appear to be an unlawful attempt to disrupt the New Hampshire Presidential Primary Election and to suppress New Hampshire voters."

Thanks to the rapid development of the type of AI technology used to clone and mimic people's voices, these types of AI-powered schemes are becoming more common — and scammers aren't just spoofing well-known public figures.

In March, the Federal Trade Commission issued a consumer alert warning people that scammers could target them by using AI technology to clone the voice of a family member in order to convince them to send the scammers money.

How to protect yourself from AI voice scams

Although it's getting harder to differentiate between what's real and what may be an AI-generated deepfake, there are a couple of steps you can take to protect yourself.

1. Fact-check and verify

When it comes to AI voice scams like the one involving Biden, you should double check that what you're hearing is actually correct, Warmenhoven says.

Although the spoofed version of President Biden voice told New Hampshire voters to "save" their votes for the November general election, a quick Google search reveals that registered Republicans and undeclared voters could cast their ballot in Tuesday's primary.

If you suspect you're being targeted by a cybercriminal, you can also check online to see if there have been any recent reports of AI-generated voice scams, Warmenhoven says.

2. End the call

If you decide to answer a call from an unknown number and it sounds like a panicked family member is asking you for money, try not to panic yourself.

Instead, end the call and try calling or texting the person using the number they've given you, rather than the one that called, to check that they're OK, Warmenhoven says.

The same goes if you receive a call from a scammer pretending to be your bank. Don't immediately believe their claims. Instead, end the call and call the number listed on your bank's website or on the back or your debit or credit card, he says.

It's especially important to get off the phone with these types of scammers, because they don't need an especially long clip of your voice in order to use AI to clone it.

"Even if you just say 'Hello? Is anybody there ?' or just mumble something, you'll give up lots of words and inflections in your voice and then [a scammer] can clone your voice," Warmenhoven says.

In May, McAfee researchers found that free online tools could be used to clone someone's voice using just three seconds of audio, per the computer software company's "The Artificial Imposter" report.

"Advanced artificial intelligence tools are changing the game for cybercriminals. Now, with very little effort, they can clone a person's voice and deceive a close contact into sending money," Steve Grobman, McAfee's chief technology officer, said in the report. "It's important to remain vigilant and to take proactive steps to keep you and your loved ones safe."

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Microsoft's VALL-E neural network can accurately simulate human voices after listening for just three seconds, raising potential applications and concerns in areas like entertainment, accessibility, and scams.

What is necessary for voice cloning to work?

The technology used for voice mimicry is a speech synthesis function developed by OpenAI, which can copy a human voice in just 15 seconds.

OpenAI has developed a speech synthesis technology that can generate a reliable sound from a short recording, which is related to voice mimicry and has various applications, including text-to-speech AI tools.

What is necessary for voice cloning to work?

The technology used for voice mimicry is a speech synthesis function developed by OpenAI, which can copy human voices in just 15 seconds.

Artificial intelligence is used to simulate the dead by modeling a person electronically using video, audio, and digital text, which can be used for voice mimicry.

Title:

Content: Digital Spirits.
How can artificial intelligence simulate the dead?
Researcher answered the video.
Artificial intelligence uses video, audio and digital text to be able to model a person electronically
A report published by the scientific site “Science Alert ” revealed that artificial intelligence tools have become providing digital simulation of the deceased and digital necromancy.
In this regard, Taleb Al-Ashqar, a researcher specializing in artificial intelligence applications at the Massachusetts Institute of Technology, confirmed that a lot of development is taking place in the field of artificial intelligence.
“So far for memories with the dead, a person can keep the image, recorded videos or conversations via social media, but with recent developments in AI there is a possibility to train models of AI on specific data. ”
“If we have a person who has a lot of videos and audio clips and texts that he wrote, we can generate a program of training on the texts that he wrote, then an avatar – a virtual character – similar to this person, then we can generate another intelligence system that can mimic the voice to a large extent for this person, and finally put all these advantages into one system, or a digital form, and then this person appears in his form and character.“ His words were trained. ”
He explained that the way a person writes or speaks, the tone of voice, speed and physical language, artificial intelligence systems can model them and put them in a digital form, and can interact with them.
The technology will be ready in a year or two, but governments are usually slow to respond to such rapid developments, and may need between five and 10 years to develop legal frameworks for AI.
Source: Al Jazeera Direct

"Voice cloning tools, such as VALL-E 2, can generate highly realistic and natural speech in the voice of a particular person, using just a few seconds of audio recording. This technology has significant potential for various applications, but also raises concerns about its potential misuse."

What are some risks regarding AI voice clning?

What is necessary for voice cloning to work?

Voice cloning tools, such as VALL-E 2, can generate high-quality speech that is similar to human speech, and their quality depends on the length and quality of the speech prompts and environmental factors.

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

Difficult to distinguish from human voice

"Voice cloning tools, like VALL-E 2, can generate realistic voice impersonations, posing risks of abuse, such as faking voice identification or impersonation, and may have practical applications in the future."

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

could become a popular method of attacking banks and financial services

Voice cloning tools, such as VALL-E 2, can synthesize a language that retains the identity of the speaker and can be used for various purposes including educational training, entertainment, and accessibility features.

Microsoft's new AI project, VALL-E, can simulate any human voice after listening to it for just three seconds, raising both excitement and concern about its potential applications and implications.

What are some risks regarding AI voice clning?

What is necessary for voice cloning to work?

AI models for voice cloning are trained on data including video, audio, and digital text.

AI models for voice cloning are trained using a person's videos, audio clips, and written texts to generate a virtual character or avatar that can mimic their voice and language patterns.

What is necessary for voice cloning to work?

AI models for voice cloning can be trained with less than a minute of audio data.

Title:

Content: • En
Warm!
Amazon Alexa voice assistant will be able to reproduce the voice of deceased relatives and friends
In the past few years, AI ’ s reproducibility of human voices has also gotten better, especially with the use of artificial intelligence and deep fake technology (Deepfake).
Amazon Alexa voice assistant. (Photo / Unsplash)
Technology comes from human nature, Amazon Alexa voice assistant will introduce a new "imitation voice" function, as long as less than a minute of audio files, even the voice of a deceased family member can be restored, the future Amazon will update the Alexa system to provide this service.
According to CNN, Amazon announced at its annual AI innovation conference re: MARS on Wednesday (22) that it will launch a feature that can mimic human voices, which is to use artificial intelligence technology to mimic any kind of sound, even deceased relatives, friends and lovers can mimic.
Rohit Prasad, Amazon ’ s senior vice president and chief scientist, said the updated system was able to collect enough voice data from less than a minute of audio to make personalization services like imitation possible, without the need to spend hours processing audio files like in a studio.
The concept comes from the use of new methods to add more “human attributes ” to AI, and in the face of the technology ’ s promise to reproduce the voices of deceased relatives and friends, Rohit Prasad said,“ Although AI cannot eliminate the pain of loss, it can definitely keep their memories alive. ”
Amazon has long used recognizable voices to voice Alexa, such as Samuel Jackson and other actresses, NBA players, and more.
But in the past few years, AI ’ s reproducibility of human voices has also gotten better, especially with the use of artificial intelligence and deep fakes.
This kind of AI has been used in different places in the past, such as Hollywood movie star Val Kilmer, who lost his voice due to throat cancer, has teamed up with startup Sonantic to create an AI-driven speaking voice for him in a new film.
According to foreign media reports, the company uses audio clips of Fang Ji Mo to achieve speech like a real actor through the algorithm.
Although Amazon has not said when it will launch the update, many experts believe it has the ability and technology to do so.
However, the “Valley of Terror effect ” may have an impact on the introduction of personalized Alexa sounds, as recreating a sound that is very similar to a loved one, but not 100% correct, may lead to resistance.
Updated: 2022-06-25 17: 32 GMT + 08: 00

What is necessary for voice cloning to work?

"The data used to train AI models for voice cloning includes audio clips of the individual's voice, which are then used to create a realistic speaking voice through an algorithm."

What is necessary for voice cloning to work?

The data used to train AI models for voice cloning can be existing videos or podcasts of somebody online, which can be used to create an uncanny resemblance of the person's voice and facial expressions.

What is necessary for voice cloning to work?

Companies can prevent identity fraud by implementing KYC protocols, securing data storage, using robust authentication methods, providing regular training, monitoring transactions, and verifying vendors.

Title:

Content: Learn about the ‘ most prominent ’ patterns of online fraud and identity fraud
A new study on online fraud based on impersonation and identity fraud has revealed a 10-fold increase in detected deep fraud based on artificial intelligence (AI) between 2022 and 2023.
Add Announcement
The study, prepared by the platform "Sumsub", presented a comprehensive analysis of fraud based on identity fraud, classified by regions around the world and according to the areas of work targeted, and pointed in its report to the most prominent methods and patterns adopted to impersonate and falsify identity.
Sumsub is an identity verification platform that helps businesses monitor fraud around the world and contributes to raising people ’ s awareness of identity theft and identity theft fraud.
Using the term “identity fraud ” to refer to the unauthorized use of personal data or fake identity for malicious purposes, the report analyzed trends, patterns and changes in“ identity fraud ” over the years of monitoring, with data from more than 2 million fraud attempts from 224 countries and regions around the world, covering 28 industries. Identity fraud.
The report says that in the past three years, the fraud landscape has evolved with the development of new technologies.
Based on the results of the study, it is clear that there is a marked upward trend in the rates of identity fraud, where the rate showed a significant increase, doubling from 1.1 percent, in 2021, to 2 percent, in 2023.
The most common types of fraud
In 2023, patterns of identity fraud continued to shift towards more complex and sophisticated technologies, according to the report, the five most prominent types of fraud were:
False identities and counterfeiting
The report shows that the ID card is the most vulnerable document to be exploited in frauds, accounting for nearly 75 percent of all fraudulent activity involving documents.
Then came the passport, then the driver ’ s license and then the residence permit.
The study showed that in 2023, fraudsters increasingly targeted developed countries in the process of falsifying documents, with the proportion of forged identities in these countries rising by an average of 163 percent, while the proportion of forged passports increased by 147 percent.
Documents linked to advanced economies have become new targets for scammers and are often forged and used, the report warns, because they are more credible and reliable.
Organizations and individuals must resort to enhanced verification of documents, even those that appear reliable and credible.
The UAE passport is the most falsified identity document of 2023, with one in four passports falsified, while the Brazilian driver ’ s license was the least falsified in the world, and the Ethiopian driver ’ s license has seen the fastest growth in falsification cases in the world.
Although some forgeries still use basic techniques such as printed images, there has been a notable rise in the prevalence of deep falsification of documents and identities altogether.
The study adds that technological advances have given scammers access to sophisticated tools and techniques to create fake documents, much like original documents.
Andrew Novoselski, head of product at Sumsub, said the fraud has evolved with the adoption of remote operations, especially in financial services, travel and transportation, where there is no longer direct contact with a live person, attracting scammers.
It has also become easier to create new identities, as one person can have 100 or 1,000 different identities online.
Deep fakes.
Deep fake technology remains a major threat in the field of identity fraud, as the widespread accessibility of this technology has enabled criminals to falsify audio, photos and video in a very realistic way in easier and less expensive ways, deceiving individuals and fraud prevention systems.
According to Pavel Goldman Kalaidin, head of artificial intelligence and machine learning at Sumsub, scammers can, depending on their skills, try to trick the system in several ways, ranging from simply wearing a gag to creating a complex deep fake technique, which uses machine learning to either create a fake character or impersonate an existing character using processed photos and videos, as well as scandalising and misleading celebrities.
He adds that deep fake voices are being used extensively to deceive people and hack into their accounts, where, for example, a journalist succeeded in entering his own bank account using a replica of his voice using artificial intelligence.
Seizure of accounts
The study says that despite efforts to strengthen security measures, account seizures have grown steadily.
Internal platform statistics showed global account hijackings increased 155 percent in 2023.
The continuing threat of account takeovers can be attributed to several key factors:
Technological advancements allow more sophisticated techniques for offenders to hack user credentials, including phishing attacks and advanced malware.
Exploiting human vulnerabilities: Fraudsters manipulate trust and use psychological tactics to trick individuals into inadvertently providing their account information.
This human characteristic makes it difficult to detect and prevent this type of fraud.
Exploiting vulnerabilities in the digital ecosystem: Fraudsters are becoming more adept at targeting and exploiting vulnerabilities within digital ecosystems.
By taking advantage of vulnerabilities in one platform, they can gain unauthorized access to other platforms.
To prevent account takeovers, companies need to deploy advanced anti-fraud systems.
These systems include continuous monitoring of user behavior and real-time alerts, along with actions such as biometric authentication, device intelligence, and more.
Money laundering networks
Money laundering was among the most common complex fraud schemes, according to the study, recruiting “seemingly innocent ” individuals who were used to transfer illegally obtained funds and conceal their origin.
Forced verification
The report describes “forced verification ” as an emerging trend in scams, in which individuals are manipulated to undergo verification for the benefit of fraudsters.
While forced verification is not currently widespread, experts are increasingly concerned about its potential impact.
According to internal platform statistics, forced verification rose from 0.31 percent to 3.52 percent of total fraud cases globally in 2023.
The study published indications of trying to perform short-form verification, most notably: the presence of suspicious voices during a verification call, such as background conversations or repetitive sounds, and unusual behavior, such as using a phone or other external devices during verification.
In order to avoid forced verification, the study recommends first deploying AI-based fraud detection systems with voice recognition technologies that can identify flaws.
Second, it advises training staff on signs of forced verification and providing them with guidance on how to deal with such situations.
Results by country
The countries most vulnerable to identity fraud are Bangladesh, where fraud accounted for 5.44 percent of the total number of checks conducted by the platform, followed by Pakistan 4.59 percent, Latvia 4.05 percent, Hong Kong 3.33 percent and Tanzania 3.31 percent.
While Bangladesh and Pakistan have continued to top the list since 2021 despite declining rates, Latvian and Hong Kong ’ s rates of identity fraud more than doubled compared to 2022.
The Middle East and Africa (MEA) region saw a 450 per cent increase in deepfake technology, with the UAE topping the list of countries in the region with 2,200 such frauds, due to its strong online presence, technological advances and rapid growth associated with the business environment.
This is followed by Algeria (1000 cases), Saudi Arabia (700), Morocco (580), Lebanon, Jordan, Iran and Israel (500 cases), Turkey (480), Kuwait (400), Egypt (300), Somalia (200), Yemen, Tunisia, Libya and Qatar (100 cases).
Among African countries, South Africa (19.7 percent) and Nigeria (11.5 percent) faced the highest number of deepfakes attacks.
For its part, the United States saw a significant rise in identity-related fraud rates from 1.04 percent in 2021 to 2.30 percent in 2022, and then recorded a decline later in 2023, settling at 1.68 percent.
Canada showed a more gradual increase, moving from 0.56 percent in 2021 to 1.16 percent in 2023.
The report says U.S. advances in artificial intelligence and digital manipulation technology have led to a rise in fraud involving fake videos and images.
The wide spread of high-quality media content and the popularity of social media platforms in the United States also contribute to the spread of deepfakes fraud.
Identity fraud rates in Europe have shown diverse patterns in the past three years, with Latvia, Estonia and Ukraine experiencing a marked increase in identity fraud rates.
In contrast, countries such as Malta, Portugal and Switzerland have maintained relatively lower fraud rates over the past three years, all remaining below one percent in 2023.
Deep fake attacks posed significant challenges for Spain, the UK and Germany, each of which accounted for more than 10 percent of the total cases in the region.
According to the study, the average growth of scams across Europe is + 780 percent, due to the attractiveness of these economically advanced countries to scammers, as well as their advanced digital infrastructure and large online presence.
Deep counterfeiting technology in the Asia-Pacific region has increased by 1,530 percent.
Vietnam and Japan are leaders in the number of attacks, far outpacing other countries, as Japan is known for using deepfake technology in entertainment, which may allow fraudsters to exploit this technology in other areas, according to the report.
In the Latin American region, identity-related fraud rates increased in all the countries analyzed in 2023.
This is due to several factors, according to the study, including increased digitization of transactions, social and economic imbalances, and informal economies.
The problem is compounded by the ability of some fraudsters to forge documents in Portuguese and Spanish, increasing the risk of identity fraud in Latin American countries.
Brazil has the highest number of deep fakes in Latin America, accounting for nearly half of all reported incidents.
Most of the cases are related to the sectors of digital currencies, financial technology and electronic games.
Average growth across the region is + 410 percent.
Sectors that are more vulnerable to fraud
Identity fraud tends to target unregulated industries more frequently.
This is primarily due to a lack of strict regulations and verification requirements, which makes it easier for fraudsters to exploit vulnerabilities.
As for the top five areas of business experiencing identity scams, they are:
The online media sector, which includes news sites, streaming services, social media platforms and digital advertising, saw the largest rise in identity-related fraud (four times), rising from 1.56 percent to 4.27 percent between 2021 and 2023.
Large audiences create an environment vulnerable to fraudulent activities such as fake accounts, manipulation of participation and dissemination of misinformation.
Professional services 3.14 percent
-Healthcare 2.41 percent, where it saw a big jump in 2023, with the rate of fraud from not reporting any cases of fraud rising in 2021.
In transportation, the figure was 2.03 percent.
Video games were 1.82 percent, up from a peak of 3.1 percent in 2022, but fell the following year.
Conversely, sectors such as e-learning have remained relatively stable, even declining over the years.
In the context of deep counterfeiting, the cryptocurrency sector has emerged at the forefront, followed by financial technology, as the nature of the sector ’ s digitization, the potential for significant financial gains and ongoing regulatory challenges create vulnerabilities that fraudsters exploit.
The report quoted fraud and financial crime expert, Luke Raven, as saying that cooperation between different sectors is necessary to effectively combat fraud, adding that there is a need to go beyond traditional partnerships between sectors, as breaking down information barriers and sharing information between different participants enhances prevention, detection and response to fraud.
This could lead to better identification of fraud trends, tracking of illicit transactions and technology development.
Artificial Intelligence: Friend or Enemy?
AI has revolutionized the fight against fraud, but it comes with its own set of challenges.
While AI can be a powerful weapon in preventing fraud, it can also be exploited by fraudsters who use it to their advantage.
Artificial intelligence is a powerful defensive weapon against the rising tide of identity fraud.
As fraud methods evolve and become increasingly complex, AI-powered fraud prevention solutions have become an indispensable tool for organizations and individuals alike.
Machine learning models can analyze huge data sets, identify unusual patterns and discrepancies that may indicate fraudulent activity, and can employ natural language processing algorithms to detect phishing messages, protecting users.
AI systems can even verify identities using biometric data, reducing the risk of unauthorized access.
It is important to harness the potential of AI while keeping one step ahead of those who seek to exploit it.
Expectations for 2024
The study presented the platform ’ s expectations of what may be witnessed in 2024 in the world of fraud, where it expected that the technology of deep counterfeiting will become more advanced and difficult to detect, and that the control of accounts and the transfer of funds will escalate.
Account purchases and money transfers are expected to continue to proliferate, as fraudsters will find innovative ways to exploit these methods, requiring more robust countermeasures and regulatory responses.
In terms of preventive measures, the platform expected strict rules to be imposed on social networks, and the acquisition of identity data from global storage to local authorities, which would enhance data security, privacy and local control over sensitive personal information.
Stricter regulations may also push for electronic identification (eID) or video identity verification with automated processes, which will provide improved ways to confirm individual identities.
Web3 technologies and decentralized solutions could gain wider adoption, according to the study, providing better security and control of personal data in a decentralized digital environment.
The report also predicted that there would be an increased focus on undocumented identity verification and the adoption of alternative methods of identity verification, providing diverse and robust options for confirming identities.
The identity verification and fraud prevention market is also likely to see consolidation, as key players collaborate to deliver more comprehensive solutions.
Network analysis will become necessary to effectively combat fraud, allowing organizations to detect patterns and complex communications that point to fraudulent activities.
General advice
In order to prevent corporate identity fraud, the study recommends:
Implement Know Your Customer (KYC) protocols: enforce robust procedures when listing new customers, regularly update and authenticate customer data, and invest in technology to identify fake videos and audio using deep fakes.
Secure data storage: By using encryption for sensitive data, updating databases and maintaining regular backups, as well as limiting access to sensitive information.
Implement robust authentication methods via two-factor authentication to access company systems, and regularly update and strengthen password policies.
Regular training and awareness programs, through educating employees about the latest fraud techniques, and conducting regular cybersecurity trainings.
Monitor transactions in real time to monitor suspicious activities, and set up alerts for unusual patterns.
Verify vendors by making sure they follow strict security protocols, and regularly review their security procedures.
Update security systems by keeping all software, especially security software, up to date, and addressing system vulnerabilities on a regular basis.
Implement a response plan for potential breaches and regularly train staff on it.
Implement physical security by ensuring secure access controls to the company ’ s premises and the use of surveillance systems such as CCTV cameras.
Conduct regular security audits and review and update security policies as needed.
Encourage staff to report suspicious activities and establish an anonymous reporting system if necessary.
Advice for staff:
Protect personal information and do not share personal details on public platforms.
Regularly review and clean social media profiles.
Beware of unsolicited communications, especially those requesting personal information, and always ensure the identity of the applicant.
Use strong and unique passwords for all accounts, and install and update antivirus software regularly.
Learn how to detect fake videos, audio clips and deep fakes properties
Protect important paper documents in a safe place and shred unnecessary documents containing personal details.
Monitor and search personal accounts for suspicious activities
Avoid using unsafe public Wi-Fi networks.
-Caution with emails for suspicious links, attachments and phishing
-View the latest fraud schemes and follow up the cyber security training provided by the company.
-Use fingerprint or PIN codes to lock personal devices, and log out of apps or websites after use.
Report suspicious activities, especially with regard to personal data and funds.

The AI voice cloning tool by ElevenLabs can clone voices with just a three-second sample clip.

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

What is necessary for voice cloning to work?

"A few seconds of audio recording are needed to clone someone's voice using VALL-E 2, a new artificial intelligence speech generator."

What is necessary for voice cloning to work?

Microsoft's VALL-E neural network can clone a person's voice after listening to it for just three seconds, raising both excitement and concern about its potential uses and misuses.

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What is necessary for voice cloning to work?

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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."

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