**Voice Cloning Technology: Summary Report (Based on Provided Extracts)**

**1.

What is Voice Cloning Technology?

**
- Voice cloning is an AI-powered process that creates a synthetic voice to mimic a real person’s speech patterns and timbre, often requiring only a short sample (as little as three seconds).

- Recent advances, such as those by ElevenLabs, allow voice clones to speak in multiple languages, breaking traditional linguistic and technical barriers.

How is Voice Cloning Developed?

**
- The underlying tech uses advanced neural networks, including Large Language Models (LLMs) and deep learning, trained on vast amounts of audio data—often scraped from the Internet.

- These models, sometimes called Generative Pre-trained Transformers (GPTs), can generate convincing and context-aware speech outputs in various accents and languages.

Current Uses of Voice Cloning Technology**
- **Entertainment:** AI voices are used to create new songs or make public figures "speak" new languages (e.g., Donald Trump speaking Hindi, or a generated song with Drake and The Weeknd).

- **Accessibility and Education:** AI tutors adapt to users’ language and accent needs, supporting learning and breaking down language barriers.

Video and voice tools, like Vidnoz and ElevenLabs, allow for quick creation of narrated content or dubbed translations.

- **Media and Communication:** Media groups utilize AI-dubbed content for documentaries to expand their reach.

- **Personalization:** AI can generate personalized video and audio content, even animating static images using synthesized voices for marketing or entertainment.

Legal and Ethical Implications**
- **Data Use and Consent:** Training models often involves data taken without explicit permission, raising copyright and privacy concerns.

- **Deepfake Risks:** Highly realistic clones blur the line between genuine and artificial content, endangering reputations and spreading misinformation.

For instance, careers based on unique vocal or visual identity (like voice acting) face existential threats.

- **Scam Potential:** Voice cloning facilitates fraud (e.g., scams where criminals mimic a real person’s voice).

- **Regulatory Calls:** Bodies like UNESCO urge regulations on generative AI’s use in schools and broader society—highlighting concerns about data privacy, consent, and ethical boundaries.

Real-World Examples**
- ElevenLabs: Enables voice cloning from a three-second sample, used for entertainment and language learning.

- AI-generated songs: Unauthorized songs attributed to famous artists (Drake, The Weeknd).

- China Media Group: Used AI-dubbed English in a documentary to widen international outreach.

Ethical Challenges**
- **Authenticity and Trust:** The line between real and generated speech is vanishing, complicating verification and trust.

- **Equity and Access:** Tools could empower or marginalize, depending on who has access and how they’re trained and implemented.

- **Impact on Learning:** AI-generated materials may bypass critical thinking if not carefully integrated, potentially undermining educational goals.

Conclusion**
Voice cloning technology is rapidly evolving, offering transformative opportunities in language learning, accessibility, and media, but also generating substantial risks regarding ethics, legality, and social impact.

Responsible, transparent use backed by regulation and ethical guidelines is essential as these tools become more accessible and realistic.

---

*This summary synthesizes key points from the provided excerpts, highlighting current developments, applications, and concerns surrounding voice cloning technology.

**Nuggets of Information on Voice Cloning, AI in Audio, and Related Ethical/Legal Issues:**

- **AI in Education**: AI is a powerful tool in the hands of experienced educators but cannot be trusted blindly due to potential inaccuracies (“hallucinations”) in generated content.

Effective use requires clear oversight and well-structured control systems to maintain quality, prevent large numbers of untested courses from diminishing educational standards, and foster collaborative learning environments.

- **AI Voice Generation Tools**: Neural networks can now convert written texts into speech, enabling quick creation of audio-visual educational content and making learning accessible across devices and at flexible times.

These advances are not limited to education; AI is also being used in entertainment—e.g., duplicating movie actor voices in other languages to preserve authenticity.

- **Technological Developments**:
    - **Text-to-Speech (TTS)** and **Voice Cloning**: Commercial projects like DALL-E 2, GPT-3, and others (NVIDIA, Adobe, OpenAI’s Voice Engine) show that AI can synthesize extremely lifelike human speech.

- AI-generated voices can now convincingly emulate specific people (including altering gender and style), as well as replicate the performances and emotional nuances of famous singers.

- **Accessibility and Healthcare**: AI-driven brain-computer interfaces have enabled speech-impaired patients to communicate using digital avatars powered by voice synthesis, demonstrating profound accessibility benefits.

- **Example Real-World Tools**:
    - **Adobe’s Enhance Speech**: Uses AI to clean up and clarify audio for podcasters and other users, with training on varied datasets.

- **OpenAI’s Voice Engine**: Voicing texts in any person’s voice, though currently withheld from public access due to deepfake concerns.

- **Risks and Concerns**:
    - **Deepfakes and Scams**: High-quality AI voice replication can be abused for impersonation, fraud, and misinformation.

- **Data Privacy & Consent**: Using someone’s voice data for cloning raises privacy and ethical issues; consent is critical, and improper use may breach legal or moral standards.

- **Legal Implications**: The regulation of voice cloning is nascent.

Unauthorized commercial or malicious use of someone’s voice may violate rights to publicity, copyright, and data protection laws.

Companies fear legal backlash and thus restrict access to the most advanced tools.

- **Ethical Challenges**:
    - Ensuring AI-created materials do not mislead learners or audiences.

- Guaranteeing transparency regarding AI-generated content.

- Balancing innovation (improved accessibility, content localization) against risks (scams, loss of trust).

- **General Outlook**: AI tools like Gemini and ChatGPT are rapidly improving and being applied in multiple industries.

Persistent oversight, ethical frameworks, and legal clarification are all necessary to harness their benefits responsibly while mitigating harms.

---
This summary synthesizes the main points concerning the technical, educational, ethical, and legal dimensions of AI-powered voice cloning and TTS systems.

Here is a summarized report based on your provided text extracts, highlighting key information on **voice cloning technology**, its development, use cases, and related ethical and legal considerations, structured for clarity and relevance:

---

**Voice Cloning Technology: Overview, Development, Uses & Implications**

### What is Voice Cloning Technology?

- **Voice cloning** uses artificial intelligence—especially machine learning, deep learning, and natural language processing—to create synthetic voices that closely mimic the speech patterns, pitch, rhythm, tone, and identity of a specific individual.

- Development requires training algorithms on extensive voice recordings of the target person.

After sufficient training, the AI can produce realistic audio in that individual’s voice, generating entirely new speech.

### How is It Developed?

- **AI-powered models** (e.g., neural networks) analyze vast datasets containing audio samples, mapping unique vocal features.

- Training includes learning pronunciation, emotional cues, and contextual speech patterns, enabling the creation of new utterances indistinguishable from genuine recordings.

### What Is It Used For?

- **Entertainment**: Used in movies, video games, dubbing, and to bring historical figures or deceased actors “back to life” for performances.

- **Accessibility**: Helps those who’ve lost their voices (due to illness or injury) retain personal communication via tailored, synthetic voice output.

- **Language learning & education**: Facilitates creation of authentic listening materials, as in your context.

- **Fraud & scams**: Unfortunately, the same technology enables deepfake scams (e.g., scammers cloning a family member’s voice to request money in emergencies).

### Legal Implications
- **Consent & Privacy**: Legal frameworks now grapple with the challenge of consent—using someone’s voice likeness without permission can violate privacy laws.

- **Copyright & Ownership**: Debate over who owns the “cloned” voice—original speaker, tech company, or user.

- **Fraudulent Use**: Laws are being updated to criminalize malicious applications, but enforcement is complex due to cross-jurisdictional use and rapid technological advances.

### Real-World Examples
- **Phone scams**: Scammers use cloned voices to impersonate family members, requesting urgent funds.

- **Entertainment**: High-profile instances of celebrities’ voices being synthetically recreated for advertisements or posthumous film roles.

- **Language learning**: AI-generated voices now assist in language instruction and material creation, speeding up curriculum development.

### Ethical Challenges
- **Authenticity & Trust**: As synthetic voices become indistinguishable from real ones, verifying identity over audio is increasingly difficult, raising the risk of manipulation and social harm.

- **Bias & Fairness**: AI voice models can inherit biases from training data, potentially affecting language learning or automated translation systems.

- **Cultural Impact**: While AI enhances communication, overreliance may risk language authenticity and reduce opportunities for real human interaction.

**Voice Cloning Technology: Summary Report (Based on Provided Extracts)**

**1.

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 is Voice Cloning Technology?

**
- Voice cloning is an AI-powered process that creates a synthetic voice to mimic a real person’s speech patterns and timbre, often requiring only a short sample (as little as three seconds).

Title:

Content: Vidnoz AI: The Effortless Tool to Create Stunning AI Videos in Minutes

In Short
  • Vidnoz AI offers tools to create engaging AI videos, including 1000+ AI avatars, 1000+ video templates, and 800+ realistic AI voices.
  • Users can produce 1-3 minutes of AI-generated scripts, create their custom AI avatar, or clone their voice using Vidnoz AI for free.
  • The Vidnoz platform is user-friendly and even a beginner can start creating professional-quality videos in just minutes.

Suppose you are looking for a way to create engaging video content with the help of AI. In that case, Vidnoz AI brings a solid platform where you can produce professional-quality AI videos in minutes. No expensive gear or equipment is required. Vidnoz AI offers hundreds of studio-quality AI avatars, video templates, and an extensive library of AI voices to generate impressive content at a fraction of the cost.

So, if you want to simplify and automate the video production process for your TikTok or YouTube channel, check out all the cool features Vidnoz AI offers below.

Create Videos from Text Scripts

The most compelling feature of Vidnoz AI is that you can create AI videos from text in just a few minutes. You have to select a template from its large library of amazing layouts, and you are good to go.

Now, all you need to do is enter the text you want the AI avatar to narrate or simply generate an AI script. You only have to give basic information about the topic you wish to discuss and the AI Script tool will instantly generate the content for you.

You can even change the tone of the scripts, choosing between formal, professional, friendly, or casual. Moreover, you can also choose a non-English language as Vidnoz AI supports more than 140 languages, both global and regional languages from across the world.

Not only that, you can add a voiceover to your AI video by selecting a voice from its library of 800+ voices. The voices can be filtered based on language, gender, emotion, scenarios, professions, and age. In addition, you can upload your voice and clone that too within minutes. Vidnoz AI voices are powered by Elevenlabs and Microsoft.

Basically, Vidnoz AI provides all kinds of pre-made assets keeping user requirements in mind and, on top of that, allows personalization too. If you’re looking for a service that can generate AI videos in a matter of a few minutes, Vidnoz is a platform you must check out.

Create Custom Virtual AI Avatars

While Vidnoz offers more than 1,000 realistic AI avatars, you can also create your own custom AI avatar. You simply have to shoot a selfie video for 3 to 5 minutes and upload the video to Vidnoz AI. It will process your uploaded video and create a custom AI avatar for you.

Apart from that, you can also create a talking face from your photo. Just upload one of your photos, and Vidnoz removes the background and creates a talking face for videos with a perfect lip sync. This comes in handy for those who want to personalize AI videos in no time.

Clone Your Voice with Emotions

If you want to clone your voice to narrate content in AI videos with your accent and emotions intact, Vidnoz AI allows you to do that too.

Simply record your voice for 1 to 3 minutes in your desired tone and emotion, and upload the audio file on Vidnoz AI. It will process the file and create a clone of your voice in barely a few minutes. To narrate any script, you can use your cloned voice, which will save you a lot of time and effort.

Suitable for All Platforms and Use Cases

What I love the most about Vidnoz AI is that it’s not limited to only making tutorials, but it unlocks applications for a large number of use cases and platforms. For example, Vidnoz AI offers templates for explainer videos, tutorials, breaking news templates for media companies, educational content, social media content, and much more.

Moreover, you can create AI videos for health and medical content, sports, e-commerce, festivals, presentations, invitations, and more. There are so many templates to choose from and it supports both landscape and vertical orientations. For social media platforms like Instagram, TikTok, and YouTube Shorts, vertical content can help you reach out to a large number of audiences.

AI Video Translator

In today’s age, content creators and news platforms have a global audience and videos are watched in many non-English speaking regions. Therefore, you can translate videos in different languages using Vidnoz AI’s powerful AI video translator tool to cater to all kinds of audiences.

You can simply upload the video in the original language and choose the output language of your choice. You can also add subtitles and lip-sync the video based on the new language. During my testing, Vidnoz AI did pretty well and the lip-sync was on point. Within a few minutes, the tool translated the whole video.

Vidnoz AI supports video translation for 140+ languages, including Spanish, French, Arabic, German, Hindi, Bengali, and more.

Easy AI Video Editing

Now, we come to the Vidnoz AI video editor which is frankly the best feature of this tool. It has a clean and straightforward user interface that even beginners can start using instantly. Apart from generating AI scripts, creating custom avatars, and cloning your voice, you can further modify the template according to your preference.

Each element of the template is customizable, you can edit text, change the font, add your logo, insert stickers, shape, add layers, and do much more. The best part is that it brings stock videos and images from other providers as well, including Pexels, Unsplash, Freepik, etc. And for background music, you have a large library of audio available in the video editor itself.

Next, you can add multiple scenes with different layouts and create AI videos, going beyond the given template. Vidnoz AI also supports dual-mode conversation where you can add two AI avatars in a scene and add scripts for each character.

Finally, you can preview the video before exporting, but the lip-syncing video is only generated after you hit the Generate button.

More Vidnoz AI Tools

Apart from creating AI videos, there are many AI tools that Vidnoz AI offers that can aid in various aspects of content creation. You can use AI text-to-speech to convert your text to realistic voice in more than 140+ languages. Next, you can change the presenter’s voice to any celebrity voice such as Barack Obama, Elon Musk, Morgan Freeman, and more.

To effortlessly generate a video from an image, you can use its AI image-to-video tool. You can turn a static image into a dancing video as well. Vidnoz AI also brings an AI video enhancer tool to upscale your videos up to 4K resolution. Finally, you have AI vocal remover, background remover, cartoon generator, headshot generator, and more.

Vidnoz AI: Pricing and Plans

Vidnoz AI offers most of its services for free with access to 1000+ AI avatars, video templates, and voices. Under the free plan, you can generate videos for 1-3 minutes per day at 720p resolution.

If you are serious about content creation and making money using AI, I would recommend getting the Starter plan which costs $19.99 per month on a yearly subscription. It unlocks video generation for up to 15 minutes per month with access to a larger library of AI avatars, video templates, and voices. You can also export videos in 1080p resolution. Vidnoz AI doesn’t add a watermark at all when you get the Starter plan.

The Business plan costs $56.99 per month, which allows you to generate 30 minutes of videos per month and throws the Voice Cloning feature into the mix. You have all of the Starter plan features too. So if you are impressed with Vidnoz AI’s features, go ahead and check out the service.

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

What is necessary for voice cloning to work?

- Recent advances, such as those by ElevenLabs, allow voice clones to speak in multiple languages, breaking traditional linguistic and technical barriers.

How will AI Voice help educators with building courses?

Title:

Content: Advertisement

An Advertising Company Wants to Make Deepfake Clones of Your Face

'[I]f all goes well it will be a viable way to make an income.'

A 3D illustration of a virtual face. iLexx / iStock

Do you need money? Of course you do.

If you can tolerate a degree of ambiguity and ethical gray zones, a startup will buy a digital deepfake copy of your face via which artificial intelligence software will sell people products and education services, according to a recent report from MIT Technology Review.

As of writing, the company has roughly 100 composite "faces" lined up. And it wants to add yours.

You don't need a model-tier face to sell it for deepfake advertising

"We've got a queue of people that are dying to become these characters," said Hour One's Strategy Lead Natalie Monbiot, in the report from MIT. To join the small army of brainless faces of the marketing world, deepfake hopefuls can apply on the company's website, where you can submit your Instagram profile, email address, and your (real) name. Naturally, model-tier faces aren't necessary, since Hour One wants to use a diverse repertoire of faces, of all ages, genders, and races. If you get picked, the firm will film your face speaking and contorting into a wide array of facial expressions with a green-screen background and a high-res camera. With footage in hand, the company will feed your likenesses into an AI system, which will build a composite character with which the company can sell whatever it wants.

As of writing, Hour One develops AI-generated voices to match each video, which isn't overwhelmingly different from text-to-speech software that enables AI to speak whatever you write. Presently, the startup says it's working with more than 40 clients, including firms from e-commerce, entertainment, real estate, and digital health. The AI startup can also offer client companies an elite package where it hires professional voice actors to stand in for your composite face, and read the sales script. One of Hour One's clients is Berlitz, a school for international language that generates teacher-led video courses on dozens of languages. Berlitz hired the company to increase the number of videos it can offer consumers, but it ran into a snag using human talent, since their production crews employed the same setup repeatedly, leading to a sense of stale redundancy. "They found it really unsustainable," noted Monbiot, in the MIT report. "A human being doesn't need to waste their time filming."

Advertisement

AI deepfakes emulating human work with increasing fidelity

On the subject of profit margins alone, this is a win-win for all involved and a historic step in the application of AI software capabilities in the private sector. But like every new technology, it has a dark side. Obviously, the AI startup has an ethics policy, but the language describing character security is surprisingly loose, made up of only three bullet points and an ambiguous commitment to protect "your data assets with utmost security." For an added measure, the company will stamp every synthetic video of your digitized face with a watermark, affirming its artificial origin. But is it enough?

"This looks like a fairly extreme case of technology scaling back the human's role in a particular work process," said Jessie Hammerling of the Center for Labor Research and Education at the University of California, Berkeley, in the MIT report. This means that, while providing a perfect composite "middle-man" for human interaction on visual platforms and advertising, it's not only the security of the base-person's facial identity that could be at a higher risk, but also the prospect of humans who are used to the idea of building an in-person career in jobs that are emulated to increasing fidelity by nascent deepfake and other AI capabilities. And without recourse to an alternative or universal basic income, there may come a day when significant populations of real human beings have to search much harder to earn a living.

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

timbre
intonation
important vocal nuances

How is Voice Cloning Developed?

**
- The underlying tech uses advanced neural networks, including Large Language Models (LLMs) and deep learning, trained on vast amounts of audio data—often scraped from the Internet.

Title:

Content: UNESCO calls for regulations on use of GenAI in schools

The United Nations Educational, Scientific and Cultural Organisation (UNESCO) called on governments to regulate the use of Generative Artificial Intelligence (GenAI) in education and research.

Publicly available GenAI tools, such as ChatGPT, can produce automated text, images, videos, music and software code. The platforms have evolved rapidly and are already in use by hundreds of millions around the world, including many students.

Such wide-ranging capacities for information processing and knowledge production have potentially huge implications for education, as they replicate the higher-order thinking that constitutes the foundation of human learning.

However, very few countries have policies in place to ensure safe and ethical use of AI tools.

UNESCO has published global Guidance on Generative AI in Education and Research, designed to address the disruptions caused by GenAI technologies.

UNESCO’s guidance suggests immediate steps that can be taken to ensure a human-centric vision for new technology use.

This includes mandating the protection of data privacy and considering an age limit of 13 for their use in the classroom. It also outlines requirements for GenAI providers for ethical and effective use.

The guidance stresses the need for educational institutions to validate GenAI systems on their ethical and pedagogical appropriateness for education.

From the perspective of a human-centred approach, AI tools should be designed to extend or augment human intellectual abilities and social skills – and not undermine them, conflict with them or usurp them.

What is generative AI?

• Generative AI (GenAI) is an Artificial Intelligence (AI) technology that automatically generates content in response to prompts written in natural language conversational interfaces.

• Rather than simply curating existing webpages, by drawing on existing content, GenAI actually produces new content.

• The content can appear in formats that comprise all symbolic representations of human thinking: texts written in natural language, images (including photographs to digital paintings and cartoons), videos, music and software code.

• GenAI is trained using data collected from webpages, social media conversations and other online media. It generates its content by statistically analysing the distributions of words, pixels

or other elements in the data that it has ingested and identifying and repeating common patterns (for example, which words typically follow which other words).

• While GenAI can produce new content, it cannot generate new ideas or solutions to real-world challenges, as it does not understand real-world objects or social relations that underpin language.

How generative AI works?

The specific technologies behind GenAI are part of the family of AI technologies called Machine Learning which uses algorithms to enable it to continuously and automatically improve its performance from data.

The type of Machine Learning which has led to many of the advances in AI that we have seen in recent years, such as the use of AI for facial recognition, is known as Artificial Neural Networks (ANNs), which are inspired by how the human brain works and its synaptic connections between neurons. There are many types of ANNs.

Text generative AI uses a type of ANN known as a General-purpose Transformer, and a type of General-purpose Transformer called a Large Language Model. This is why AI Text GenAI systems are often referred to as Large Language Models (LLMs). The type of LLM used by text GenAI is known as a Generative Pre-trained Transformer, or GPT (hence the ‘GPT’ in ‘ChatGPT’).

Image GenAI and music GenAI typically use a different type of ANN known as Generative Adversarial Networks (GANs) which can also be combined with Variational Autoencoders. GANs have two parts (two ‘adversaries’) —  the ‘generator’ and the ‘discriminator’. In the case of image GANs, the generator creates a random image in response to a prompt, and the discriminator tries to distinguish between this generated image and real images. The generator then uses the result of the discriminator to adjust its parameters, in order to create another image. The process is repeated, possibly thousands of times, with the generator making more and more realistic images that the discriminator is less and less able to distinguish from real images. For example, a successful GAN trained on a dataset of thousands of landscape photographs might generate new but unreal images of landscapes that are almost indistinguishable from real photographs.

Meanwhile, a GAN trained on a dataset of popular music (or even music by a single artist) might generate new pieces of music that follow the structure and complexity of the original music.

GenAI has a myriad of possible uses

The release of ChatGPT in November 2022, followed by iteratively more sophisticated versions, sent shock waves worldwide, and is fuelling the race among large technology companies to position themselves in the field of GenAI model development.

GenAI has a myriad of possible uses. It can automate information processing and the presentation of outputs across all key symbolic representations of human thinking. It enables the delivery of final outputs by furnishing semi-finished knowledge products.

By freeing humans from some categories of lower-order thinking skills, this new generation of AI tools might have profound implications for how we understand human intelligence and learning.

Millions of people are now using GenAI in their daily lives and the potential of adapting the models to domain-specific AI applications seems unlimited, at least in the years to come.

Controversies around generative AI

GenAI raises multiple immediate concerns related to issues such as safety, data privacy, copyright and manipulation. Some of these are broader risks related to artificial intelligence that have been further exacerbated by GenAI, while others have newly emerged with this latest generation of tools.

i) Use of content without consent

GenAI models are built from large amounts of data (for example text, sounds, code and images) often scraped from the Internet and usually without any owner’s permission. Many image GenAI systems and some code GenAI systems have consequently been accused of violating Intellectual Property Rights. There are several ongoing international legal cases that relate to this issue.

ii) AI-generated content polluting the Internet

Because GPT training data is typically drawn from the Internet, which all too frequently includes discriminatory and other unacceptable language, developers have had to implement what they call ‘guardrails’ to prevent GPT output from being offensive and/or unethical. However, due to the absence of strict regulations and effective monitoring mechanisms, biased materials generated by GenAI are increasingly spreading throughout the Internet, polluting one of the main sources of content or knowledge for most learners across the world.

This is especially important because the material generated by GenAI can appear to be quite accurate and convincing, when often it contains errors and biased ideas. This poses a high risk for young learners who do not have solid prior knowledge of the topic in question. It also poses a recursive risk for future GPT models that will be trained on text scraped from the Internet that GPT models have themselves created which also include their biases and errors.

iii) Lack of understanding of the real world

Text GPTs are sometimes pejoratively referred to as ‘Stochastic Parrots’. While they can produce text that appears convincing, that text often contains errors and can include harmful statements. This all occurs because GPTs only repeat language patterns found in their training data (usually text drawn from the Internet), starting with random (or ‘stochastic’) patterns, and without understanding their meaning – just as a parrot can mimic sounds without actually comprehending what it is saying.

The disconnect between GenAI models ‘appearing’ to understand the text that they use and generate, and the ‘reality’ that they do not understand the language and the real world can lead teachers and students to place a level of trust in the output that it does not warrant. This poses serious risks for future education.

iv) Generating deepfakes

GenAI can be used to alter or manipulate existing images or videos to generate fake ones that are difficult to distinguish from real ones. GenAI is making it increasingly easy to create these ‘deepfakes’ and ‘fake news’. GenAI is making it easier for certain actors to commit unethical, immoral and criminal acts, such as spreading disinformation, promoting hate speech and incorporating the faces of people, without their knowledge or consent, into entirely fake and sometimes compromising films.

v) Ethical concerns

GenAI systems in education may exacerbate existing disparities in access to technology and educational resources, further deepening inequities.

GenAI systems in education may reduce human-to-human interaction and the critical social-emotional aspects of learning.

It may limit learners’ autonomy and agency by providing predetermined solutions or narrowing the range of possible learning experiences. Their long-term impact on young learners’ intellectual development needs to be investigated.

GenAI systems that mimic human interactions may have unknown psychological effects on learners, raising concerns about their cognitive development and emotional well-being, and about the potential for manipulation.

As more sophisticated GenAI systems are being developed and applied in education, they are likely to generate new biases and forms of discrimination based on the training data and methods used by the models, which can result in unknown and potentially harmful outputs.

- These models, sometimes called Generative Pre-trained Transformers (GPTs), can generate convincing and context-aware speech outputs in various accents and languages.

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

timbre
intonation
important vocal nuances

Current Uses of Voice Cloning Technology**
- **Entertainment:** AI voices are used to create new songs or make public figures "speak" new languages (e.g., Donald Trump speaking Hindi, or a generated song with Drake and The Weeknd).

- **Accessibility and Education:** AI tutors adapt to users’ language and accent needs, supporting learning and breaking down language barriers.

Title:

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

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

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

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

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

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

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

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

How will AI Voice help educators with building courses?

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

Respond to different learning demands
Enhance language comprehension

What is unique about Loora's AI English tutor?

Video and voice tools, like Vidnoz and ElevenLabs, allow for quick creation of narrated content or dubbed translations.

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

- **Media and Communication:** Media groups utilize AI-dubbed content for documentaries to expand their reach.

Title:

Content: Advertisment

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

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

Aqsa Younas Rana
Updated On
New Update

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

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Revolutionizing Content Accessibility

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

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

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Setting New Standards in Media Production

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

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

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- **Personalization:** AI can generate personalized video and audio content, even animating static images using synthesized voices for marketing or entertainment.

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

timbre
intonation
important vocal nuances

Legal and Ethical Implications**
- **Data Use and Consent:** Training models often involves data taken without explicit permission, raising copyright and privacy concerns.

- **Deepfake Risks:** Highly realistic clones blur the line between genuine and artificial content, endangering reputations and spreading misinformation.

What are some risks regarding AI voice clning?

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

Difficult to distinguish from human voice

For instance, careers based on unique vocal or visual identity (like voice acting) face existential threats.

- **Scam Potential:** Voice cloning facilitates fraud (e.g., scams where criminals mimic a real person’s voice).

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

could become a popular method of attacking banks and financial services

- **Regulatory Calls:** Bodies like UNESCO urge regulations on generative AI’s use in schools and broader society—highlighting concerns about data privacy, consent, and ethical boundaries.

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

timbre
intonation
important vocal nuances

Real-World Examples**
- ElevenLabs: Enables voice cloning from a three-second sample, used for entertainment and language learning.

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

What is necessary for voice cloning to work?

- AI-generated songs: Unauthorized songs attributed to famous artists (Drake, The Weeknd).

- China Media Group: Used AI-dubbed English in a documentary to widen international outreach.

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

timbre
intonation
important vocal nuances

Ethical Challenges**
- **Authenticity and Trust:** The line between real and generated speech is vanishing, complicating verification and trust.

Title:

Content: Bridging Language Barriers: The Role of Global Voice and Speech Recognition in a Connected World

In an increasingly globalized world, the ability to communicate effectively across language barriers is becoming more critical than ever. With the advent of advanced technology, we are witnessing the rise of global voice and speech recognition systems that are playing a significant role in bridging these language gaps. These innovative tools are not only transforming the way we communicate but are also fostering greater understanding and collaboration among people from different linguistic backgrounds.

Global voice and speech recognition systems are computer-based technologies that convert spoken language into written text. They are capable of understanding and interpreting human speech, thereby allowing for real-time translation and transcription. This is particularly useful in a world where international communication is commonplace, and the need for quick and accurate translation is paramount.

These systems are being integrated into a wide range of applications, from smartphones and smart home devices to customer service and healthcare. For instance, multinational corporations use voice and speech recognition technology to provide customer support in multiple languages, enhancing their global reach and customer satisfaction. In the healthcare sector, these systems are used to transcribe medical records, thus improving efficiency and reducing the risk of errors.

Moreover, these technologies are playing a pivotal role in breaking down language barriers in education. They enable students to access learning materials in various languages, thereby promoting inclusivity and diversity. For non-native speakers, these tools can provide language learning support, making education more accessible and equitable.

The global voice and speech recognition market is growing at an unprecedented rate, reflecting the increasing demand for these technologies. According to a report by Grand View Research, the market is expected to reach USD 31.82 billion by 2025, growing at a compound annual growth rate (CAGR) of 17.2% from 2019 to 2025. This growth is driven by advancements in artificial intelligence and machine learning, which are making these systems more accurate and efficient.

However, despite the significant strides made in this field, there are still challenges to overcome. One of the main issues is the accuracy of translation. While these systems have improved considerably, they are not yet perfect and can sometimes misinterpret or mistranslate speech. This can lead to misunderstandings and miscommunications, which can be particularly problematic in sensitive situations such as diplomatic negotiations or legal proceedings.

Furthermore, these systems often struggle with understanding and translating less common languages or dialects. This can exclude certain communities from benefiting from these technologies, thus exacerbating existing language barriers.

Despite these challenges, the potential of global voice and speech recognition systems in bridging language barriers cannot be overstated. As these technologies continue to evolve and improve, they will undoubtedly play an increasingly important role in fostering global communication and understanding. They represent a significant step towards a world where language is no longer a barrier but a bridge connecting different cultures and communities.

By

What are some risks regarding AI voice clning?

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

Difficult to distinguish from human voice

- **Equity and Access:** Tools could empower or marginalize, depending on who has access and how they’re trained and implemented.

Title:

Content:
This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

fact-checked

trusted source

proofread

How is AI changing the way we write and create?

Since late last year, artificial intelligence platforms like ChatGPT have become a growing topic of conversation on college campuses, with students using the technology for everything from class assignments to essays.

These text-generating software programs sift through massive databases to generate human-like responses to prompts or questions from users. The rapid introduction of this technology and its relatively unknown potential have spawned both awe and apprehension.

So what are the possible positive and negative effects of these tools? How might they change how we think about writing, creativity, authenticity and teaching? What is the path forward?

To better understand these questions, we spoke with three scholars in NC State's Department of English. Our faculty offer insights on the technology's societal and ethical ramifications, how to deal with issues like plagiarism, and the importance of increasing AI literacy, among other topics.

What are the cognitive consequences of machine-generated writing?

Chris Anson, Professor of English: Written communication represents myriad purposes and genres across thousands of different contexts. Much of it is created to handle routine tasks, such as describing a home for a real estate listing, sending an apology letter to a customer or providing accurate directions to a location.

In such cases, using AI-based natural language processors (NLP) to fulfill the task does little to challenge the cognitive processes of the human writer. The reason is that the writer is ordinarily not significantly changed by the writing task, especially when it uses boilerplate-like language—language that is often repeated with a few unique details inserted. Instead, these software improve efficiency and make time for the person to do higher-level, more cognitively sophisticated kinds of writing.

However, when people compose unique texts that require complex reasoning—the framing and support of arguments, and choices of structure, language and style—their composing process alternates between mental formulation and textual output. Writers test and evaluate their visual representation of thought on a page or screen as it emerges, discovering new ideas and subsequently revising the text. Writing can change the writer, opening up new perspectives and beliefs or revealing what there still is to learn.

Especially in , the reciprocity of writing and thinking is essential for intellectual development and higher-order reasoning. Asking an AI-based system to write an essay on a topic that the (human) writer has not yet explored significantly subverts the thinking and learning process.

It is possible for a writer to auto-generate a text, evaluate whether it reflects the writer's thoughts or intentions, and then revise the text as needed. But this process doesn't work for many genres such as explanations of scientific processes or historical accounts because the writer is relying on the machine to provide information they don't yet know.

Representing new knowledge in writing solidifies the knowledge through its (re)articulation, leading to stronger learning. In this sense, when used to replace human composing entirely, AI-based NLP systems threaten the integrity of our educational system and the future intellectual acumen of our students.

Because NLP systems increasingly will become part of our daily lives, educators need to find principled ways to integrate them into instruction. For example, I asked ChatGPT to explain the cognitive consequences of machine-generated writing, it gave me an additional idea that I had not considered, but only after I had written my statement. The software's response? "Machine-generated writing may lead to a homogenization of writing style…"

As ChatGPT itself recommends, "it is important for people to remain aware of these potential effects and to use machine-generated writing in conjunction with, rather than as a replacement for, human-generated writing."

What are some ethical considerations of machine-generated content?

Huiling Ding, Professor of English: AI-generated content, be it texts or artwork, introduces many ethical challenges related to authorship, copyright, creativity, plagiarism and labor practices. For instance, text-to-image AI generators like Midjourney and DALL-E 2 use images available in the and/or images available online through Google search, Pinterest, and other image-sharing and art-shopping platforms as training data for their algorithms.

By supporting text-prompt-driven image creation, these AI generators then produce artwork that can imitate individual artists' styles. In doing so, they compete with if not displace artists who have spent decades improving their craft.

AI-assisted writing faces similar challenges in terms of transparency, explainability, plagiarism and authorship attribution. Using online texts as training data, AI writers such as GPT-3 can generate original summaries and syntheses based on existing content.

Traditional writing classes are disrupted by these AI tools, which speed up and automate the process of online research and the summary and synthesis of reference materials. Students can easily copy and paste AI-generated content as their own written work without being caught by plagiarism-detecting tools such as Turnitin.

In other words, natural language generation tools such as GPT-3 transform how we detect and define plagiarism. That, in turn, calls for new research and adaptation from writing instructors and scholars.

Outside the classroom, professional writers and businesses use AI content generators to create preliminary ideas, generate quick summaries of online publications, write stories and engage with customers in chatbot conversations.

While famous artists such as Greg Rutkowski may feel their rights infringed by AI art generators, other artists are using AI-generated art for inspiration. In the content generation marketplace, these AI tools can compete with writers and artists or can be used as human-augmenting tools to help writers and artists produce content more creatively, efficiently and collaboratively.

How do advancements in AI technologies affect how we teach writing?

Paul Fyfe, Associate Professor of English: At the start of this year, ChatGPT made many people nervous about the potential impact of AI on student writing. Even though generative AI will likely affect various professions and domains, student writing became a lightning rod for concerns about cheating, as if students could press a button and produce essays or completed homework. However, the commentary hasn't necessarily reflected students' experiences; the reality is more complicated.

For the past few semesters, I've given students assignments to "cheat" on their final papers with text-generating software. In doing so, the majority of students learn (often to their surprise) as much about the limits of these technologies as their seemingly revolutionary potential. Some come away quite critical of AI, believing more firmly in their own voices. Others become curious about how to adapt these tools for different goals, or what professional or educational domains they could impact. Few, however, believe they can or should push a button to write an essay; none appreciate the assumption they will cheat.

Grappling with the complexities of "cheating" also moves students beyond a focus on specific tools, which are changing stunningly fast, and toward a more generalized AI literacy. Frameworks for AI literacy are still being developed; mechanisms for teaching it are needed just as urgently.

Beyond ChatGPT, faculty and administrators must reckon with where AI literacy fits into their , at levels from K-12 through higher ed. Experimenting with AI in the classroom can help faculty members learn alongside students what kinds of assignments and learning opportunities these tools might open, what critical perspectives should support them, and what guardrails we still need.

Yet not every class can or should focus on these technologies, even if they're likely to be affected by them. While it's difficult to coordinate an institutional response to fast-moving technologies, generative AI seems significant enough to warrant such collective action. As AI becomes more common, so might an engaged, interdisciplinary AI literacy become a common aspect of students' educations.

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What are some risks regarding AI voice clning?

- **Impact on Learning:** AI-generated materials may bypass critical thinking if not carefully integrated, potentially undermining educational goals.

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

timbre
intonation
important vocal nuances

Conclusion**
Voice cloning technology is rapidly evolving, offering transformative opportunities in language learning, accessibility, and media, but also generating substantial risks regarding ethics, legality, and social impact.

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

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

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

Why Do Multilingual Skills Matter?

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

Practical User Advice:

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

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

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

Using Nuanced Speech to Bridge Cultural Gaps

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

Potential Multilingual Text to Speech Applications:

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

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

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

Scalability and pricing

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

Data Privacy Is Important

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

Extending the Multilingual Communication Landscape

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

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

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

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

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

Language and Cultural Nuances

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

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

Best Practices for Using AI Voice Over Generators

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

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

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

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

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

In conclusion

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

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How AI Is Changing The Teaching Profession Forever

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By Lisa Chau

Artificial Intelligence (AI) is no longer a niche technology reserved for specific high level functions and industries — it has quickly evolved into a transformative force in homes, offices, and classrooms.

While the technology is transformative, its impact hasn’t been uniformly positive. For example, teachers are seeing students take advantage of AI to cheat on assignments. It makes their jobs easier. With AI, cheaters never prosper.

“Students think that educators won't detect it. Our English teachers run any suspicious work through software that detects the use of AI, but honestly it is usually obvious to teachers,” said Stephen Whiteley, a recently retired York Suburban High School science teacher who taught for 34 years.

“The biggest risk is that some students will believe they will never have to have an original thought… AI might help, but [it] can't substitute for true problem solving.”

It’s not all bleak. AI is revolutionizing how teachers address the diverse learning needs and paces of individual students. Educators can leverage AI to facilitate personalized learning by way of intelligent tutoring systems and platforms that analyze students' strengths, weaknesses, and learning styles. The platforms then tailor and pace content to suit each individual student.

Differentiated instruction is crucial for catering to diverse student needs, especially in classrooms with students of varying abilities. AI algorithms are already used to adapt math and reading lessons in real-time to ensure that every student receives an appropriate level of support and challenge. Ideally, such data-driven approaches allow for more effective and inclusive teaching practices by improving student engagement and achievement while helping educators identify and address learning gaps more effectively.

“One way in which AI should be incorporated into the classroom is through a beginning ‘dialogue’ between the student and the application,” said Professor Dr. Daniel Perrone, an adjunct professor of English at John Jay College of Criminal Justice in New York City. “Although AI may be able to provide a substantive ‘answer’ to a composition or literature question, the student can use the application's initial response to build on it with the student's own research and explanation to add a humanistic touch to the response — and to fill in any blanks.”

Tech leaders have warned that critical thinking skills will become essential in the workplace because AI will handle mundane and administrative tasks. Indeed, part of the appeal of AI is that it can eliminate or severely reduce rigamarole.

“You know what the biggest problem with pushing all-things-AI is? Wrong direction,” author Joanna Maciejewska wrote on X. “I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes,”. Maciejewska’s post has garnered more than 3 million views and over 24 thousand reposts.

Because of this powerful appeal, teachers must be intentional in using these new tools to bolster education and outcomes in the classroom rather than relying on them as shortcuts.

Alice Keeler is a 25-year veteran math teacher with a masters degree in educational media design and technology. She helps teachers effectively integrate student-centered technology in the classroom.

“We are only starting to scratch the surface of AI in education,” Alice said.

“Hopefully, AI will let us see that getting the right answer or regurgitating facts isn't as important anymore. Even students who struggle with grammar or writing a letter can be successful in this new world if they can utilize generative AI,” she said.

Unfortunately, Keeler has been witnessing the opposite.

“Many math programs and other tools have thrust upon students terrible videos and low-level questions, which are neither engaging nor a good use of technology,” she said. “I see a tendency with AI to double down on this, making worksheets faster or using robots as tutors. Is this really an improvement? AI should be used to make schools more flexible, more humanizing, and to allow for more interactions with people. It should enable students to engage in meaningful, creative tasks that teach critical thinking, so we aren't trying to compete with robots but rather become the best human beings we can be.”

So, it is necessary now to further build and navigate the technology in such a way that it enhances our lives rather than detract from it. AI technologies must be steered in such a way that it significantly improves educational outcomes and workforce readiness. To do so, it is crucial that we address challenges related to access, data privacy, and teacher training to ensure the equitable and ethical implementation of AI in education.

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*This summary synthesizes key points from the provided excerpts, highlighting current developments, applications, and concerns surrounding voice cloning technology.

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

timbre
intonation
important vocal nuances

**Nuggets of Information on Voice Cloning, AI in Audio, and Related Ethical/Legal Issues:**

- **AI in Education**: AI is a powerful tool in the hands of experienced educators but cannot be trusted blindly due to potential inaccuracies (“hallucinations”) in generated content.

Title:

Content: Columns
How to use AI when creating educational courses?
Columns
Tatyana Galkina
Director of iSpring Academy
Alina Aleshchenko
In various industry communities, there is an active discussion about whether AI and machine learning technologies should be applied in the field of education.
It is believed that soon neural networks will completely replace the developers of courses and other educational products.
But that's not true.
AI is a tool that helps and works only in experienced hands, without a “guide ” it is of little use.
How technologies will affect the quality of training, how they are used today by developers of EdTech solutions and what are the obstacles for the widespread introduction of AI in education, says Tatyana Galkina, director of the iSpring Academy.
How to use AI when creating educational courses?
Make artificial intelligence self-learn and improve – choose online courses in the catalog of courses on machine learning.
There are two important points that neural networks will help improve in the learning process.
• First, neural networks will save the sphere from excessive conservatism and clumsiness – AI becomes a good incentive for the study and use of new technologies.
Second, AI can accelerate the process of creating educational products for too long.
Often, courses become obsolete even in the development process, so speed is of great importance.
Reducing the time of content preparation will make training more relevant and timely.
We expect that in the near future, neural networks will allow corporate universities, online schools and universities to accelerate the development of courses - they will take over the function of packaging content.
Now they can be assigned part of the preparatory tasks.
Task number one – generation of images and texts
Developing courses, we use AI to search for interesting ideas, packaging content, generating selling, engaging titles for the course, images.
Experts, experienced designers, methodologists work with neural networks.
Usually it is quite difficult to find a finished image on the stocks that meets all the requests.
For example, a developer is looking for an illustration for the cover of a course about leadership competencies.
He needs the image of a strong, strong-willed pilot at the helm of the aircraft.
AI can offer its own options or adjust the finished picture: change the angle, colors, some details, and thus generate a unique illustration that can be further used in the work.
The main thing is not to forget that artificial intelligence is still not an expert, and the reliability of the content it creates always needs to be checked.
After all, the neural network, as an artist, can depict anything, even the jungle on Mars, in its own way interpret the elements of the clothes of the same aircraft pilot, draw non-existent in reality details.
Therefore, when developing training courses with the help of neural networks, you need to be extremely careful.
With images work:
Artificial intelligence is able to help with the generation of ideas, topics, structures, metaphors of the course, can write a dialogue between the manager and the client or come up with a test question with answers.
You can compare this with brainstorming an entire team, only it will take several times less time and effort.
But in this case, the work of the expert should be even more painstaking and thoughtful than with images.
Neural networks cannot be trusted implicitly — they may well come up with non-existent facts.
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For example, we needed to create a course for retail employees about merchandising rules.
For the developer, this topic was new.
Going the standard way, he would have spent hours, if not days, to find sources of information, dive in, delve into and structure the course, or take the expert ’ s time to find out what needs to be included in the course.
AI helped to generate the structure in 5 minutes, it took another 15 minutes to check its adequacy and adjust it to the task of the course and send it to the expert for approval.
Further, for each item of the structure, the developer selected materials, including with the help of colleagues.
In this part of the work on the course, we no longer rely on AI.
In addition to ChatGPT, the generation of texts can be assigned to:
• CopyMonkey (analogues: ruGPT-3, Smodin) — 10 text formats are available.
• TurboText (analogues: Webcanape, WebX) — will come up with a title for a longread, course or text.
Task number two – work with sound and video
Virtual assistants help create unusual video effects to engage in the learning process.
In addition, there are tools for creating talking characters.
Neural networks are able to improve the quality and resolution of videos, process audio tracks and generate unique background music suitable for the course.
One of the frequent cases of using a neural network in training courses is voice acting by a robot.
No need to waste time searching for a speaker, recording in the studio.
You can just write a text, and the neural network will voice it.
It makes it a natural voice.
AI quite well understands the Russian text, accents, nuances of pronunciation.
Our course designer already has such functionality, and we actively use it ourselves.
In this segment will be useful:
• Gen-2 — changes the background of the video, removes unnecessary objects from the picture, adds the desired stylization.
• Synthesia Create — turns a script into a video course.
• iSpring Suite Max (analogues: Freetts, Text to Speech Online, VoxWorker) - one of the constructor tools turns text into voiceover for an online course or video.
• Boomy (analogue – MuseNet) – will generate a melody on request.
In addition, neural networks are used for:
• search for new ideas for the promotion of educational products;
• optimization and automation of the learning process;
• processing and ranking of reviews;
• writing macros to translate PDF files into pictures;
• development of standard TK.
For example, a developer sends a feedback questionnaire to Google Forms to those who have completed an online course in order to receive feedback.
Respondents write what they liked or did not like, the results are collected in the table.
How to process them?
You can unload all ready-made detailed answers and ask the neural network to rank them from the most negative to the most positive.
Or analyze and write down the 5 most positive points.
Task number three — specification of issues and language practice
In addition to generating and processing content, AI as an assistant can clarify user training questions and direct them to experts.
Such mechanics can now be traced in various chatbots - according to standard algorithms, they help to correctly formulate requests.
This also applies to training.
The second scenario is independent language practice.
With the same ChatGPT you can talk in any foreign language – check yourself after the lessons of the expert, consolidate the acquired knowledge.
To talk with the help of chatbots to learn is unrealistic, but they allow you to practice.
See also: Creating a website with the help of neural networks - from the logo to the final layout
What to entrust to AI is definitely not worth it
Especially carefully you need to approach the automation of assessments and verification of homework.
Artificial intelligence can invent any answer and then rely on it.
Therefore, the system of control over it should be very clearly thought out.
It is also better to form the educational trajectory and individual training programs personally, because the neural network does not take responsibility for the result of training.
It is not recommended to trust the AI to compile lists of literature, as they may appear non-existent books, sites and other sources.
It is also not necessary to instruct the neural network to write a script for working with some unique equipment or software, since it can take information not only from available documentation, but also come up with it.
Difficulties in implementation
The mass introduction of neural networks in educational processes is hampered by a number of serious factors:
• lack of control and verification of the created content;
• the risk of leakage of personal data and information constituting a trade secret.
In addition, the use of AI in education is expected to generate a large number of untested courses.
In the pursuit of profit, they will generate everything in a row, but only serious providers and large sites will monitor the reliability.
And this can have a negative impact on the quality of the training itself.
Market participants need a thoughtful and conscious approach, an understanding of what tasks need to be solved with the help of AI and content verification with an expert.
And consumers need to check vendors and choose reliable sites that are ready to be responsible for the created content.
Feedback from curators, experts, teachers, organization of the process is important.
The finished course is still only one part of the educational experience that the user receives during the course of training.
EdTech is more likely to use AI correctly than other areas, as developers understand the value of learning and have a lot of experience in correctly presenting and verifying information.
Therefore, neural networks for them will become an assistant and a friend, not an enemy and a competitor.
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What are some risks regarding AI voice clning?

Effective use requires clear oversight and well-structured control systems to maintain quality, prevent large numbers of untested courses from diminishing educational standards, and foster collaborative learning environments.

- **AI Voice Generation Tools**: Neural networks can now convert written texts into speech, enabling quick creation of audio-visual educational content and making learning accessible across devices and at flexible times.

Title:

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

These advances are not limited to education; AI is also being used in entertainment—e.g., duplicating movie actor voices in other languages to preserve authenticity.

Title:

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

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

- **Technological Developments**:
    - **Text-to-Speech (TTS)** and **Voice Cloning**: Commercial projects like DALL-E 2, GPT-3, and others (NVIDIA, Adobe, OpenAI’s Voice Engine) show that AI can synthesize extremely lifelike human speech.

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Will Gemini replace ChatGPT?
As the boundaries of artificial intelligence continue to expand, new technologies are emerging that challenge the current state of affairs and promise to redefine human-computer interaction.
Two important players in this arena are Gemini, Google ’ s newest multimodal artificial intelligence marvel, and ChatGPT, OpenAI ’ s universal language model.
Both models are at the forefront of AI research, but they take into account different aspects of the AI-based future that many expect.
In this article, we will try to delve into the subtleties and capabilities of Gemini and ChatGPT, shedding light on their potential trajectories for improving or even revolutionizing our digital experience.
Understanding Gemini and ChatGPT
With its unique ability to process and synthesize information in a variety of modalities, including text, images, audio and video, Gemini represents a significant evolution in artificial intelligence technology.
It is designed not only to understand these different data formats, but also to analyze and integrate them consistently.
This revolutionary approach expands the capabilities of applications in various areas, from content creation to solving complex problems.
Meanwhile, ChatGPT, known for its natural language processing abilities, has made a splash as an advanced conversational agent capable of generating human-like textual responses in various fields.
It interacts with purely textual commands, but its ability to learn and adapt is applied in many scenarios, from writing assistance to learning.
Purpose of comparison
While it may seem like Gemini and ChatGPT are competing for the same attention, reality may paint a picture of complementarity rather than outright rivalry.
The purpose of comparing these two AI titans is not to announce a winner, but to understand their unique positions in the AI ecosystem and how they can affect the development of future technologies.
Each has its own strengths and potential applications, and by comparing them, we can better understand the nuances of both, the expectations of their growth and how they can change our interactions with machines.
This comparison is intended to give an idea of   the capabilities, achievements and limitations of Gemini and ChatGPT, as well as explore the question: will Gemini replace ChatGPT or will they both find their own niches in the world of artificial intelligence?
What is Gemini?
Gemini is the latest step in the field of multimodal artificial intelligence, created by Google specialists to bridge the gaps between various forms of communication and understanding.
As the digital world becomes more complex, with the flow of information presented in various modalities, Gemini acts as a beacon of integration, seamlessly combining text, images, audio and video.
This synthesis allows Gemini to process information from these different sources individually, understand and interpret them as interconnected pieces of a larger puzzle.
Overview of Gemini ’ s multimodal capabilities
At its core, Gemini ’ s multimodal capabilities represent an ambitious departure from previous AI models that were limited to single-mode interaction.
Gemini ’ s improved design allows it to appreciate the subtleties of the image, catch the semantics of spoken words, decipher the syntax of written text, and even extrapolate the meaning of video clips.
It is this holistic approach to data processing that distinguishes Gemini because it can draw conclusions, establish connections, and provide more contextually rich answers than its unimodal counterparts.
By learning from such diverse datasets, Gemini can perform complex tasks based on the interaction of different types of information, which radically expands the potential of innovative applications in the field of artificial intelligence.
Key features of Gemini
Key features that define Gemini include its modern efficiency and flexibility across a variety of platforms, from large-scale data centers to mobile devices.
This versatility allows Gemini to be both a powerful processor for solving complex computing tasks and a dexterous performer for processing data on the go.
Additional distinguishing features of Gemini include its ability to understand and generate high-quality code in multiple programming languages, which reinforces its role as a leading tool for developers.
Combined with high performance on Google Tensor Processors (TPU), Gemini demonstrates Google ’ s commitment to artificial intelligence research and embodies the pinnacle of a data processing architecture optimized for real-world requirements and scalability.
The goal is clear: to make Gemini a reliable, versatile model that can be exceptionally effective, while expanding the horizons of AI-based solutions.
What is ChatGPT?
ChatGPT is a modern artificial intelligence for language processing developed by OpenAI and designed to simulate human conversation and generate coherent and contextually relevant text responses.
He has been trained to work with a variety of Internet text, allowing him to respond to clues with high fluency and accuracy.
This advanced language model quickly attracted attention due to its ability to help and even automate tasks related to natural language, such as customer support, content creation, and various forms of online interaction.
Exploring the functionality of ChatGPT
ChatGPT functionality covers a wide range of language tasks.
Based on the GPT (Generator Pre-Trained Transducer) series, it has been refined with teacher-assisted learning techniques to generate human-like text and demonstrate a remarkable understanding of the nuances of hints.
He can continue the conversation, answer questions, and create written content that is often indistinguishable from a human writer ’ s text.
The flexibility of the model allows it to be adapted to different styles and tones, making it suitable for a variety of industries and applications.
Whether it ’ s writing emails, creating dialogue scripts, or creating educational materials, ChatGPT ’ s advanced algorithms allow it to competently solve problems.
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Main strengths of ChatGPT
The main strengths of ChatGPT are its understanding of the language and its ability to generate text.
It demonstrates a clear understanding of syntax, word relationships, and contextual clues, allowing it to maintain coherence in long passages and engage in complex discussions on various topics.
Moreover, ChatGPT supports a wide range of languages, further strengthening its usefulness in a global context.
One of the most remarkable features of ChatGPT is its ability to learn from interaction patterns.
Over time, it can refine its products to better match the preferences and expectations of users, thereby creating a more personalized experience.
These main advantages make ChatGPT an invaluable tool for solving any problems related to the complexity and subtlety of human language, emphasizing its potential as a transformative tool in communication based on artificial intelligence.
The unique advantages of Gemini
Gemini is becoming a pioneer in the field of artificial intelligence, offering unique benefits that could potentially change our approach to machine learning and artificial intelligence applications.
With its advanced capabilities and thoughtful design, Gemini is poised to offer solutions to some of the most challenging challenges facing artificial intelligence today.
Multimodal integration
One of the main advantages of Gemini is its innovative approach to multimodal integration.
Unlike traditional models, which typically specialize in a single modality, such as text or images, Gemini is designed to simultaneously process and understand different types of data.
This capability provides more detailed and comprehensive responses, drawing on a rich set of sources of information.
For example, by receiving a hint that includes both text and the corresponding image, Gemini can analyze the content of the image along with the text to give answers that reflect a deeper understanding of both modalities in combination.
This level of integration allows Gemini to solve complex problems that usually require a combination of specialized single-modal models: from automatically adding captions to images with context from related articles to answers to subtle questions that are based on cross-referencing visual data with accompanying text.
Efficiency and scalability
Another significant advantage of Gemini is the emphasis on efficiency and scalability.
Designed to work efficiently on a variety of devices, from powerful data centers to more limited mobile devices, Gemini provides a new level of versatility in the field of artificial intelligence.
This scalability ensures that applications based on Gemini will be widely available, serving a wide base of users with different computing resources.
In addition, Google ’ s investment in optimizing Gemini for its state-of-the-art TPU infrastructure allows the model to achieve high-speed computing without compromising output quality.
As such, Gemini can handle large amounts of multimodal data in much less time than previous models, making it an attractive option for industries where speed and accuracy are paramount.
This efficiency saves time and resources and opens the door to real-time artificial intelligence applications that were previously unavailable due to computational constraints.
For no-code platforms like AppMaster, Gemini ’ s integration can greatly expand capabilities by providing fast server services and artificial intelligence features that typically require extensive manual programming.
This efficiency saves time and resources and opens the door to real-time artificial intelligence applications that were previously unavailable due to computational constraints.
Role of ChatGPT
ChatGPT, OpenAI ’ s conversational masterpiece, has taken a dominant role in the development of artificial intelligence.
This is a testament to the remarkable progress made in natural language processing and generation (NLP) — areas that are fundamental to human-artificial intelligence interaction.
As we move further into the era of artificial intelligence, the role and significance of ChatGPT is only getting deeper and more far-reaching.
Mastery of language processing
The processing capabilities of the ChatGPT language are at the heart of its design.
This model, built on the architecture of the transformer, demonstrates an incredible ability to understand and imitate models of human language with great complexity.
He understands grammar, context, and even the subtleties of cultural nuances in a way that sets a new standard for machines that interpret and generate language.
ChatGPT can put together coherent, contextually relevant narratives that are difficult to distinguish from human-generated text.
Its ability to build meaningful dialogue and provide conversational information has already revolutionized customer service, content creation and educational tools, providing an interactive experience that reflects deep linguistic intelligence.
Acceptance and accessibility
A key aspect of ChatGPT ’ s role is its widespread availability.
Since its release, the model has been integrated into many platforms, changing the way companies, educators, and content creators interact with their audiences.
The availability of ChatGPT is due not only to its functional ease of use, but also to its availability as a service provided by OpenAI.
Companies of all sizes were able to incorporate ChatGPT ’ s advanced NLP capabilities into their operations without the need for extensive AI infrastructure or expertise.
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This democratisation of advanced artificial intelligence tools ensures widespread use of the benefits of ChatGPT, allowing more people to experience and interact with artificial intelligence in an intuitive and naturally language-based way.
What ’ s more, the ease of integration through APIs has spurred innovation across all sectors, contributing to the development of applications that were once hampered by the complexities of understanding and creating languages.
Will Gemini replace ChatGPT?
The rapid development of artificial intelligence technologies naturally raises questions about the longevity and relevance of existing models as new ones emerge.
With the advent of Google ’ s multi-modal artificial intelligence Gemini, the conversation is inevitably about its impact and the ability to replace established language models such as ChatGPT.
Analysis of Coincidences and Differences
At first glance, it may seem that Gemini and ChatGPT are in direct competition, especially in areas where text analysis and processing are key.
However, a closer look reveals fundamental differences that suggest that they serve different purposes.
Gemini ’ s strength lies in its multimodal capabilities: it is able to synthesize information from various types of data — images, text, audio — to provide a more context-rich interaction.
ChatGPT, on the other hand, specializes exclusively in the text field, pushing the boundaries of what can be achieved in language processing and generation.
Overlapping exists primarily in their ability to process natural language text, but their respective approaches and broader functions vary considerably.
While Gemini can contextually evaluate text in conjunction with other data modalities, ChatGPT is superior in pure text communication and generation, making it suitable for language-oriented applications.
Expert conclusions and forecasts
Artificial intelligence experts tend to view the relationship between Gemini and ChatGPT as complementary rather than mutually exclusive.
They highlight the possibility that the strengths of each model can be used in tandem to achieve results that cannot be achieved alone.
Forecasts for the future take into account Gemini ’ s potential to significantly improve multimodal applications, while ChatGPT continues to refine and push the boundaries of artificial intelligence in natural language.
Instead of replacing ChatGPT, Gemini could proclaim a new class of multimodal artificial intelligence applications that could benefit from the mature language processing capabilities of models such as ChatGPT.
Essentially, both of these AI centers can form a multidisciplinary AI ecosystem in which collaboration and specialization coexist, leading to a richer and more versatile technological environment.
Thus, Gemini can not so much replace ChatGPT, as to reconsider the ways in which AI is applied in various modalities, stimulating the next wave of AI innovation.
Evolution of Artificial Intelligence Tools
The artificial intelligence industry is in a state of constant change, characterized by relentless progress and constant improvement of technology.
As these advances progress, the trajectory of the evolution of AI tools becomes marked by significant leaps in capabilities and functionality.
This climate of consistent innovation is driven by the mutual desire of researchers, technologists and industry to solve increasingly complex problems and broaden the horizons of what AI can achieve.
Continuous development and improvement
One of the most striking aspects of this evolution is the desire for continuous development and improvement.
Artificial intelligence tools, once considered the most advanced, go through cycles of reassessment and improvement as new discoveries and the development of computational methods.
These improvements are often implemented by improving accuracy, efficiency, and expanding the applicability of AI in untapped areas.
While early versions of AI models demonstrated remarkable skills in their niches, current research and iterative learning expanded their competencies, making AI more versatile and tailored to human needs.
At the same time, the integration of feedback loops and real-world applications further enhances AI capabilities, creating a dynamic in which AI tools not only evolve in their performance metrics, but also do so in line with real-world performance and relevance.
How artificial intelligence tools complement each other
In addition to the development of individual AI tools, the evolution of the AI toolkit is also characterized by a symbiosis of different technologies.
Artificial intelligence models are increasingly designed with compatibility in mind and the ability to complement each other ’ s functionality.
For example, the ability of models like ChatGPT to process and generate natural language can be combined with the multimodal analytical advantages of models like Gemini to create complex systems capable of understanding the world and interacting with it in more human ways.
This mutual improvement makes it possible to develop much more complex applications than any single AI tool could create in isolation.
As this field evolves, we expect specialized AI systems to blend harmoniously with each other, offsetting each other ’ s limitations and capitalizing on their respective strengths.
This ecosystem approach not only maximizes the potential impact of artificial intelligence tools, but also paves the way for innovative solutions that harness the collective power of these emerging technologies.
How can Gemini ’ s features affect code-less platforms like AppMaster?
No-code platforms such as AppMaster can leverage Gemini ’ s AI capabilities to automate complex multimodal data tasks, making application development more accessible to non-developers without compromising advanced capabilities.
Which industries can benefit most from Gemini ’ s multimodal capabilities?
Industries that require complex data analysis and interpretation, such as healthcare, autonomous vehicles, and content creation, will benefit significantly from Gemini ’ s ability to process multimodal information.
What are Gemini and how do they work?
Gemini is Google ’ s multimodal artificial intelligence model, capable of processing and interpreting various types of data, including text, images, audio and video, to provide integrated and context-oriented responses.
What distinguishes ChatGPT from other artificial intelligence models?
ChatGPT, created by OpenAI, excellently processes and generates natural language, creating very coherent and contextually relevant text, similar to human.
Can Gemini replace ChatGPT in terms of functionality?
Although the capabilities of Gemini and ChatGPT overlap, especially when processing text, they serve different purposes.
Gemini is focused on multimodal data integration, while ChatGPT specializes in language tasks.
Their functionality complements rather than replaces each other.
How do artificial intelligence models such as Gemini and ChatGPT evolve?
Artificial intelligence models are constantly being developed and improved, becoming more accurate, efficient and adaptable to new applications.
They develop to work in harmony, offering strengths of cooperation in specialized areas.
What impact will AI models like Gemini and ChatGPT have on the future of technology?
Artificial intelligence models such as Gemini and ChatGPT create the basis for more interactive, complex and user-friendly applications, contributing to the future of technologies deeply integrated with the capabilities of advanced artificial intelligence.
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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

- AI-generated voices can now convincingly emulate specific people (including altering gender and style), as well as replicate the performances and emotional nuances of famous singers.

Title:

Content: NEWS
NVIDIA told about its success in the synthesis of natural human speech by AI
NVIDIA told about its success in the synthesis of natural human speech by AI
Artificial intelligence now allows you to recreate the voice of virtual assistants in smartphones and smart speakers, very similar to human speech.
Although it is still possible to notice the differences between synthesized and live speech, which we hear in everyday conversation and in the media.
This is because humans speak with complex rhythms, intonations, and timbres that AI is difficult to replicate.
However, thanks to the work of NVIDIA, the differences are gradually blurring.
The company ’ s researchers create models and tools for high-quality controlled speech synthesis that convey the richness of human speech without sound artifacts.
Their latest designs are now on display at Interspeech 2021, which runs until September 3.
These models can help create voice automated customer service lines for banks and retailers, animate video game or book characters, and provide real-time speech synthesis for digital avatars.
NVIDIA ’ s creative team even uses this technology to create an expressive narrative for a series of videos about the possibilities of artificial intelligence.
Until recently, these rollers were voiced by a person.
Previous models of speech synthesis offered limited control over the tempo and pitch of the synthesized voice, so attempts to narrate artificial intelligence did not evoke the emotional response that a talented human speaker could give.
That changed over the past year, when NVIDIA ’ s text-to-speech research team developed more powerful and manageable speech synthesis models, such as RAD-TTS.
By teaching a text-to-speech model based on human speech, the RAD-TTS model can convert any text note into a speaker ’ s voice.
Another feature of the model is voice transformation, where the words of one speaker (or even singing) are transmitted by the voice of another speaker.
The RAD-TTS interface gives users the ability to accurately control the height, duration and energy of the synthesized voice at the frame level.
As a result, for example, a man can read a text and then convert it into a female voice.
The capabilities of the AI model go beyond voiceover.
Text-to-speech conversion can be used in games, to help people with voice impairments, or to help users translate between languages with their own voice.
AI can even recreate the performances of famous singers, combining not only the melody of the song, but also the emotional expression of the vocals.
Expressive speech synthesis is just one element of NVIDIA ’ s research into conversational AI.
This area also includes natural language processing, automatic speech recognition, keyword detection, sound enhancement, and more.
These developments were made using the NVIDIA NeMo toolkit and are open source solutions.
They are optimized to run efficiently on NVIDIA GPUs and are available for use by researchers and developers.
Source: NVIDIA
Report a typo
Text to be sent to our editors:

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

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

Difficult to distinguish from human voice

- **Accessibility and Healthcare**: AI-driven brain-computer interfaces have enabled speech-impaired patients to communicate using digital avatars powered by voice synthesis, demonstrating profound accessibility benefits.

Title:

Content: Researchers at the University of California, San Francisco (UCSF) have developed a special brain-computer interface with support for artificial intelligence (AI) that allowed a woman with severe paralysis as a result of a brain stem stroke to speak through her digital “avatar. ”
This is reported by the portal Medical Xpress.
The translation of the main provisions of the publication is presented by discover24.ru.
Edward Chang, MD, chair of the Department of Neurological Surgery at the University of California, San Francisco, has been working on a technology known as a brain-computer interface (BCI) for more than a decade.
“The goal of our research project is to help patients who have lost their speech restore the full way of communication that is most natural for people.
New achievements bring us closer to making it real, ” he said.
Earlier, Chang ’ s research team showed the possibility of decoding brain signals into text in a person who had a brain stem stroke many years ago.
The latest study demonstrates something more ambitious: decoding brain signals into natural speech and facial expressions that animate a person ’ s face during a conversation.
Chang implanted a paper-thin rectangular mini-board consisting of 253 electrodes on the surface of the brain in areas that are critical for speech functions.
The electrodes intercepted the patient ’ s brain signals, which, if not for a previous stroke, would have reached her tongue, jaw and larynx muscles, as well as facial muscles that form facial expressions.
A cable connected to a port attached to the patient ’ s head from the outside connected the electrodes to the computer unit.
For several weeks, the participant of the experiment worked with researchers on training AI algorithms for the recognition system of unique signals of her brain, providing speech functions.
This involved repeatedly repeating various phrases from a conversational set of 1024 words until the AI achieved confident recognition of patterns of brain activity associated with sounds.
Instead of teaching the AI to recognize whole words, the researchers created a system that decodes words from phonemes — stable subunits of speech that form spoken words in the same way that letters form written words.
Using this approach, the computer had to learn just 39 phonemes to decipher any word in English.
This simultaneously increased the accuracy of the system and made it three times faster.
Next, to mimic the voice, the researchers developed a speech synthesis algorithm that they personalized so that it sounded like the patient ’ s voice before the injury, using her archived video recordings.
Chang ’ s research team eventually animated the avatar with software that mimics and animates facial muscle movements developed by Speech Graphics based on AI technology.
The researchers created tailor-made machine learning processes that allowed the standard software to process signals sent from a woman ’ s brain as she tried to speak and adequately translate them into facial expressions on the avatar ’ s face, including reflections of facial movements in happiness, sadness, and surprise.
"Essentially, we are making up for the connections between the brain and the vocal tract that have been severed by a stroke.
When the patient first used this system to speak and move the face of the avatar at the same time, it was expected to have a real effect, ” said researchers working with Professor Chang, PhD student Kylo Littlejohn, and Dr. Gopala Anumanchipalli, a professor of electrical engineering and computer science at the University of California, Berkeley.
As an important next step, the UCSF researchers called the creation of a wireless version that does not require the user to physically connect to the BCI.
“Giving people the ability to more freely manage their computers and phones with this technology will have a profound impact on their independence and social interaction, ” said study co-author David Moses, associate professor of neurological surgery at UCSF.
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- **Example Real-World Tools**:
    - **Adobe’s Enhance Speech**: Uses AI to clean up and clarify audio for podcasters and other users, with training on varied datasets.

Title:

Content: Sections
Software Technics
AI was taught to bring bad voice recordings to studio quality.
The tool is free
Released a free tool Adobe, which allows you to radically clean audio from background noise and improve the quality of recording.
How it works, the company hides.
Radical cleaning
Adobe has released a new AI tool for working with audio.
The Enhance Speech program is designed to clean speech recordings from extraneous noise and improve their quality in general.
As a result, even a recording made on an average quality dictaphone will eventually sound as if made in a professional studio.
At least, that ’ s what the developers claim.
Surprisingly, the tool is free, although you will need to create an account on the Adobe website to use it.
As stated in the publication Ars Technica, Enhance Speech spun off from the larger research project ProjectShasta, later renamed Adobe Podcast.
The best browser version of Enhance Speech.
After registration, users can download an MP3 or WAV file lasting up to one hour or up to 1 gigabyte.
The process of cleaning and improvement takes a few minutes.
Adobe has released a free AI tool for radical cleaning of voice recordings from noise
When tested by Ars Technica journalists, it turned out that Enhance Speech works best with recordings where only one voice is heard, and the noise level remains more or less moderate.
Recording on the built-in microphone of the Apple laptop from a distance of about three meters and with a noisy fan next to it in the end looked like it was done on a professional tape recorder in a completely muffled studio.
How it works
Adobe does not disclose details of how their system works.
ArsTechnica suggests that the AI was trained on a multi-hour array of data, including both clean and noisy records.
The resulting model allows the system to isolate the frequencies of the human voice and synthesize an exact copy of everything that was said.
Meanwhile, employees of the publication Hacker News when testing Enhance Speech on very noisy records received rather strange results, such as the sound of extraneous voices that appeared on the recording made near the waterfall.
Recordings made in languages other than English also produced "ghostly voices."
Artem Permyakov, Directum: HR specialist becomes digitalization agent
Digitalization
But this indicates that the AI produces some more complex process than the mathematical subtraction of noise from the record.
“It is logical that Adobe released such a tool.
In its arsenal for many years there is a package called AdobeAudition, bought from another company in the early 2000s.
One of its most famous advantages is a highly efficient model of subtracting noise from audio recordings according to a given profile.
This feature package inherited from the original developers, — says Alexey Vodiasov, technical director of SEQ. — But this approach has its serious limitations.
AI that uses speech resynthesis will cope with the task of eliminating noise much more effectively, although here, most likely, there will be problems. ”
Enhance Speech is not the first tool that offers the ability to remove noise using AI models.
For some time now, there is an open package mayavoz and commercial service Audo Studio, which are able to give similar results.
Enhance Speech is just one element of Adobe ’ s entire group of AI tools aimed at podcasters.
In addition to it, there is another free development MicCheck and a tool for editing audio based on the transcript, which is still in beta testing and is available only by invitation.
Roman Georgiev

- **OpenAI’s Voice Engine**: Voicing texts in any person’s voice, though currently withheld from public access due to deepfake concerns.

Title:

Content: OpenAI introduced a tool based on artificial intelligence, which can voice the text of any person
17: 57, 31 March 2024
Voice Engine can clone your voice in as little as 15 seconds.
Photo: gzeromedia.com
Follow the latest news in social networks SUD.UA
OpenAI has introduced a new tool based on artificial intelligence Voice Engine, capable of voicing texts with the voice of any person.
This is on the OpenAI website.
In particular, having a 15-second sample of the sound of speech, the instrument can reproduce the voice of any person.
Voice Engine has the same AI model underlying the “read aloud ” feature of ChatGPT chatbot.
The tool is offered to be used to translate videos and podcasts.
Voice Engine retains the natural accent of the speaker even in translation.
Also, the developers note that Voice Engine can help people who can not read or children in learning, since natural sound is better perceived than robotic voices.
Voice Engine can be used to restore voice to patients with impaired speech apparatus.
People will be able to communicate by voicing their text queries in natural language thanks to the tool, added to OpenAI.
OpenAI created the Voice Engine in late 2022, but there is no public access to it yet.
Developers fear that it can be used to create deepfakes.
Subscribe to our Telegram-channel t.me / sudua and to Google News SUD.UA, as well as to our VIBER, Facebook page and Instagram to be aware of the most important events.
The status of limited fit will be canceled: how it will affect the mobilization
The status of limited fit will be canceled: how it will affect the mobilization
The main thing about court
Today is Birthday Celebration
• Igor Zavalnyuk
Judge of the Odessa District Administrative Court
• Lyudmila Kosik
Judge of the Svyatoshinsky District Court of the City of Kyiv

- **Risks and Concerns**:
    - **Deepfakes and Scams**: High-quality AI voice replication can be abused for impersonation, fraud, and misinformation.

Title:

Content: OpenAI introduced a tool based on artificial intelligence, which can voice the text of any person
17: 57, 31 March 2024
Voice Engine can clone your voice in as little as 15 seconds.
Photo: gzeromedia.com
Follow the latest news in social networks SUD.UA
OpenAI has introduced a new tool based on artificial intelligence Voice Engine, capable of voicing texts with the voice of any person.
This is on the OpenAI website.
In particular, having a 15-second sample of the sound of speech, the instrument can reproduce the voice of any person.
Voice Engine has the same AI model underlying the “read aloud ” feature of ChatGPT chatbot.
The tool is offered to be used to translate videos and podcasts.
Voice Engine retains the natural accent of the speaker even in translation.
Also, the developers note that Voice Engine can help people who can not read or children in learning, since natural sound is better perceived than robotic voices.
Voice Engine can be used to restore voice to patients with impaired speech apparatus.
People will be able to communicate by voicing their text queries in natural language thanks to the tool, added to OpenAI.
OpenAI created the Voice Engine in late 2022, but there is no public access to it yet.
Developers fear that it can be used to create deepfakes.
Subscribe to our Telegram-channel t.me / sudua and to Google News SUD.UA, as well as to our VIBER, Facebook page and Instagram to be aware of the most important events.
The status of limited fit will be canceled: how it will affect the mobilization
The status of limited fit will be canceled: how it will affect the mobilization
The main thing about court
Today is Birthday Celebration
• Igor Zavalnyuk
Judge of the Odessa District Administrative Court
• Lyudmila Kosik
Judge of the Svyatoshinsky District Court of the City of Kyiv

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

- **Data Privacy & Consent**: Using someone’s voice data for cloning raises privacy and ethical issues; consent is critical, and improper use may breach legal or moral standards.

Title:

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

- **Legal Implications**: The regulation of voice cloning is nascent.

Title:

Content: OpenAI introduced a tool based on artificial intelligence, which can voice the text of any person
17: 57, 31 March 2024
Voice Engine can clone your voice in as little as 15 seconds.
Photo: gzeromedia.com
Follow the latest news in social networks SUD.UA
OpenAI has introduced a new tool based on artificial intelligence Voice Engine, capable of voicing texts with the voice of any person.
This is on the OpenAI website.
In particular, having a 15-second sample of the sound of speech, the instrument can reproduce the voice of any person.
Voice Engine has the same AI model underlying the “read aloud ” feature of ChatGPT chatbot.
The tool is offered to be used to translate videos and podcasts.
Voice Engine retains the natural accent of the speaker even in translation.
Also, the developers note that Voice Engine can help people who can not read or children in learning, since natural sound is better perceived than robotic voices.
Voice Engine can be used to restore voice to patients with impaired speech apparatus.
People will be able to communicate by voicing their text queries in natural language thanks to the tool, added to OpenAI.
OpenAI created the Voice Engine in late 2022, but there is no public access to it yet.
Developers fear that it can be used to create deepfakes.
Subscribe to our Telegram-channel t.me / sudua and to Google News SUD.UA, as well as to our VIBER, Facebook page and Instagram to be aware of the most important events.
The status of limited fit will be canceled: how it will affect the mobilization
The status of limited fit will be canceled: how it will affect the mobilization
The main thing about court
Today is Birthday Celebration
• Igor Zavalnyuk
Judge of the Odessa District Administrative Court
• Lyudmila Kosik
Judge of the Svyatoshinsky District Court of the City of Kyiv

Unauthorized commercial or malicious use of someone’s voice may violate rights to publicity, copyright, and data protection laws.

Companies fear legal backlash and thus restrict access to the most advanced tools.

Title:

Content: OpenAI introduced a tool based on artificial intelligence, which can voice the text of any person
17: 57, 31 March 2024
Voice Engine can clone your voice in as little as 15 seconds.
Photo: gzeromedia.com
Follow the latest news in social networks SUD.UA
OpenAI has introduced a new tool based on artificial intelligence Voice Engine, capable of voicing texts with the voice of any person.
This is on the OpenAI website.
In particular, having a 15-second sample of the sound of speech, the instrument can reproduce the voice of any person.
Voice Engine has the same AI model underlying the “read aloud ” feature of ChatGPT chatbot.
The tool is offered to be used to translate videos and podcasts.
Voice Engine retains the natural accent of the speaker even in translation.
Also, the developers note that Voice Engine can help people who can not read or children in learning, since natural sound is better perceived than robotic voices.
Voice Engine can be used to restore voice to patients with impaired speech apparatus.
People will be able to communicate by voicing their text queries in natural language thanks to the tool, added to OpenAI.
OpenAI created the Voice Engine in late 2022, but there is no public access to it yet.
Developers fear that it can be used to create deepfakes.
Subscribe to our Telegram-channel t.me / sudua and to Google News SUD.UA, as well as to our VIBER, Facebook page and Instagram to be aware of the most important events.
The status of limited fit will be canceled: how it will affect the mobilization
The status of limited fit will be canceled: how it will affect the mobilization
The main thing about court
Today is Birthday Celebration
• Igor Zavalnyuk
Judge of the Odessa District Administrative Court
• Lyudmila Kosik
Judge of the Svyatoshinsky District Court of the City of Kyiv

- **Ethical Challenges**:
    - Ensuring AI-created materials do not mislead learners or audiences.

What are some risks regarding AI voice clning?

- Guaranteeing transparency regarding AI-generated content.

- Balancing innovation (improved accessibility, content localization) against risks (scams, loss of trust).

- **General Outlook**: AI tools like Gemini and ChatGPT are rapidly improving and being applied in multiple industries.

Persistent oversight, ethical frameworks, and legal clarification are all necessary to harness their benefits responsibly while mitigating harms.

---
This summary synthesizes the main points concerning the technical, educational, ethical, and legal dimensions of AI-powered voice cloning and TTS systems.

Title:

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

Here is a summarized report based on your provided text extracts, highlighting key information on **voice cloning technology**, its development, use cases, and related ethical and legal considerations, structured for clarity and relevance:

---

**Voice Cloning Technology: Overview, Development, Uses & Implications**

### What is Voice Cloning Technology?

Title:

Content: AI tools can replicate people ’ s voicesmibluesperspectives.com
How to protect yourself from fraudulent AI calls?
With the increasing capacity of generative AI tools, it has become easier and cheaper for scammers to create convincing fake sounds for certain people, so that these transcriptions are trained on the syllables of human speech, and can be modified to imitate almost anyone.
AI tools improve by cloning people ’ s voices, and fraudsters use these new abilities to commit fraud.
The latest models can speak many languages, so their dangers can affect almost all countries of the world.
A possible scenario.
Imagine this scenario.
You answer a random call from a family member, relentlessly explaining how a terrible car accident happened and he needs you to send money now, otherwise he will go to jail.
You can hear the desperation in his voice demanding an immediate cash transfer.
Although the voice certainly sounds like that person, and the call came from their number, you feel like something is wrong.
So, it was decided to end the call and call him immediately.
When he answers your call, he says there was no car accident, and he has no idea what you're talking about.
Well, with this action I managed to avoid a fraudulent call by artificial intelligence.
Avoid exposure to fraud
While the threat of AI-powered scams can be scary, you can stay safe by keeping a few tips in mind, the next time you receive an urgent and unexpected call.
Artificial intelligence tools can clone people ’ s voiceselearningindustry.com
Call back: It is very easy for scammers to show the call as if it came from a legitimate phone number.
Often, scammers impersonate the number they call you from, making it look like the government agency or bank is calling you, so you have to be proactive.
Whether it ’ s from your bank or a family member, anytime you get a call asking for money or personal information, go ahead and ask for a call back.
Create a secure password: A common tip is to craft a secure word that only you and your loved ones know, which you can ask them over the phone to confirm your identity.
In other words, you can negotiate in advance with your loved ones about a word or phrase that they can use to prove their true identity, if they are under duress.
Although calling back or checking through another means of communication is preferable, a safe word can be especially useful for young or elderly relatives who may otherwise be difficult to contact.
If you don ’ t have a safe word and are trying to figure out if the painful call is real, stop for a moment and ask a personal question that only the person you claim to be talking to knows the answer to.
Make sure that the question is specific enough that the fraudster cannot answer correctly with an educated guess.
Artificial intelligence tools can clone people ’ s voicesproducer.musicradiocreative.com
Understanding which voice to imitate: Deep voice cloning isn ’ t just for celebrities and politicians.
What people don ’ t realize is that by using at least 5 to 10 seconds of your voice, you may have put it on “TikTok or YouTube, ” you can easily create a copy of your voice.
Using AI tools, the outgoing voicemail message on your smartphone may be enough to replicate your voice as well.
Don ’ t give in to the emotional call: Whether it ’ s a scam or an AI-powered phone call, experienced scammers are able to build your trust in them and find your weaknesses.
So be wary of any interaction in which you feel too emotional; because the best scammers are not necessarily just the most skilled technical hackers, many of whom have a good understanding of human behavior.
If you take a moment to think about a situation and refrain from acting impulsively, this may be the moment to avoid being scammed.
Related News
Using Artificial Intelligence to Implement the Most Dangerous Voice Fraud
Most Read
No stories found.
Erm News
www.eremnews.com

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

- **Voice cloning** uses artificial intelligence—especially machine learning, deep learning, and natural language processing—to create synthetic voices that closely mimic the speech patterns, pitch, rhythm, tone, and identity of a specific individual.

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

timbre
intonation
important vocal nuances

- Development requires training algorithms on extensive voice recordings of the target person.

Title:

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

What is necessary for voice cloning to work?

After sufficient training, the AI can produce realistic audio in that individual’s voice, generating entirely new speech.

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

Difficult to distinguish from human voice

### How is It Developed?

Title:

Content: Artificial intelligence in vocational and technical education and training (concept, use and risks)
14.04.2023 10: 01 PM
Artificial Intelligence is an emerging field that has the potential to revolutionize the way we live and work.
One area where AI has shown special promise is vocational and technical education and training.
Using smart applications and algorithms, AI can enhance learning outcomes, improve efficiency, and provide students with a real-world experience.
It is a field of study that uses computing to represent, learn, and develop human intelligence.
Artificial intelligence is used in various fields, including vocational and technical education and training, it studies and develops technologies and systems based on computing to represent and analyze data and perform tasks similar to those of the human mind.
AI can be applied to vocational education and training by using AI techniques to analyze educational data and make personalized recommendations to students based on their academic record and current performance.
Machine learning and neural networks can also be used to improve teaching methods and the development of teaching programs, enabling students to self-learn and self-analyze their performance and developments in acquired skills.
The use of artificial intelligence in vocational and technical education and training has the potential to enhance learning outcomes and improve efficiency.
AI-based applications, such as virtual reality simulations and adaptive learning algorithms, can provide students with customized learning experiences that meet their individual needs and preferences.
This can help students learn more effectively and efficiently, while also allowing teachers to monitor student progress and adjust their teaching methods accordingly.
Furthermore, AI can be used to provide students with real-world experience through the use of simulations, allowing them to develop practical skills and knowledge that directly apply to their chosen career paths, the use of AI in TVET has the potential to enhance learning outcomes and improve efficiency.
AI can also be used in vocational and technical training to improve industrial processes and save costs.
For example, AI techniques can be used to analyze production data and determine the best methods and techniques to improve productivity.
Artificial intelligence can also be used to train workers to develop new skills and help them improve their performance on their tasks.
In general, AI can be considered as one of the important tools and techniques that can be used in vocational and technical education and training to improve performance and achieve desired goals.
Artificial intelligence (AI) can be used in vocational and technical education and training (TVET) variously, and among the main uses of AI in this context are:
1.
Analytical performance and evaluation:
Thanks to artificial intelligence, it is possible to analyze student performance, evaluate the skills students have and determine the points they need.
Artificial intelligence can also be used to analyze educational data and phenomena occurring in the classroom and discover new models and innovative ideas.
2.
Self-learning:
Artificial intelligence can be used to improve self-learning and interaction between student and educational content.
For example, applications and programs can be created that are customized to suit the learning styles of each individual student.
3.
Vocational training:
Artificial intelligence can be used to train workers and teach them the skills needed to perform well in a particular occupation.
This can be done by producing interactive simulators in which workers are trained in a realistic way.
4.
Data Analysis:
Artificial intelligence can be used to analyze educational data, including statistics on students, teachers and schools, and enable administrators to better manage the education system.
Modern technologies, especially artificial intelligence, contribute to the improvement of vocational and technical education and training.
Artificial intelligence is characterized by its ability to collect, analyze, and extract knowledge and information from data efficiently, accurately and without human intervention, which allows to provide many of the following advantages:
1- Personalization of learning and training:
Artificial intelligence techniques are used to customize learning and training experiences according to the learner ’ s level and individual needs, increasing the efficiency and effectiveness of these processes.
2. Access to knowledge and skills:
Artificial intelligence technologies help provide easy and effective access to the knowledge and skills needed to achieve educational goals.
Reduce cost and time:
Artificial intelligence connects people ’ s learning with electronic and autonomous means, reducing administrative costs and time to get work done.
AI can be used in technical and vocational education and training to achieve educational goals quickly and accurately, improve the quality of technical and vocational education and training, and help workers develop their skills and improve their performance in the labor market.
Using AI, workers can be trained in skills required in a specific industry and prepared to work in that industry in the labor market, as well as in analyzing data and predicting the demand for future knowledge and skills.
When this data is thoroughly analyzed, companies and educational institutions can adapt to the needs of the labor market and use this information to develop vocational and technical training programs.
Moreover, AI can be used to identify important skills that workers must learn in the labor market, and then develop specialized training programs to teach these skills in an effective and efficient manner, helping to align workers ’ skills with the needs of the labor market, and enhancing job opportunities for individuals in areas experiencing difficulties in recruiting well-trained workers.
In addition, artificial intelligence can be used to help discover talent, improve individual abilities, and better employ them.
Artificial intelligence can be used in vocational training to improve the quality of education and increase training efficiency.
Through the use of artificial intelligence techniques, it is possible to analyze the performance of employees and make personalized recommendations for each individual based on their strengths and weaknesses in their performance.
Machine learning and neural network technologies can also be used to improve and develop training programmes, provide workers with an appropriate learning environment, and improve the quality of the vocational and technical training they receive.
For example, interactive and innovative training applications can be created that provide practical and theoretical training for workers, and improve the basic skills that workers need in their work.
In addition, AI can be used to provide online learning platforms that can be accessed at any time, making it easier for workers to improve their skills and benefit from vocational training flexibly and effectively.
Artificial intelligence can be used in vocational training to improve the quality of education and training, improve workers ’ performance and develop their skills, and thus provide better opportunities for employment and success in the labor market.
However, the use of AI in vocational and technical education and training carries risks, one of the main risks being the potential for bias.
AI algorithms are as unbiased as the data they ’ ve been trained on, and if that data contains biases, the algorithms will learn and reproduce those biases.
This can lead to unfair discrimination against students based on race, gender, or other demographic factors.
In addition, it may also lead to job redundancies, as some of the tasks previously performed by humans can now be automated.
This can have significant implications for the labor market, especially for workers in industries that rely heavily on vocational or technical skills.
But it also poses risks such as bias and the possibility of redundancies.
As such, it is critical for educators and policymakers to carefully consider the potential benefits and risks of AI and ensure that its implementation is guided by scientific criticism and ethical considerations.
By doing so, we can harness the power of AI to create a more effective and equitable education system that prepares students for the challenges and opportunities of the future.
One of the potential risks of AI applications in vocational and technical education and training is the full adoption of AI autonomous systems, which means reducing the human role in learning and training processes, and can lead to a loss of trust in relationships between learners and trainers.
However, the use of AI in vocational and technical education and training also carries risks, such as bias and the possibility of redundancy.
As such, it is critical for educators and policymakers to carefully consider the advantages and risks of AI and ensure that its implementation is guided by scientific criticism and ethical considerations.
This article explores the impact of artificial intelligence on vocational and technical education and training, examining its potential benefits and risks, and the importance of scientific criticism and ethical considerations.
To navigate the risks and benefits of AI in vocational and technical education and training, it is essential for educators and policy makers to carefully consider the potential implications of AI and ensure that its implementation is guided by scientific criticism and ethical considerations.
This includes assessing the accuracy and reliability of AI algorithms, assessing their potential impact on student outcomes and the labor market, and ensuring that the use of AI complies with ethical principles such as fairness, transparency, and accountability.
Furthermore, it is important to involve stakeholders, such as students, educators and industry representatives, in the development and implementation of AI-based applications, to ensure that they are aligned with the needs and expectations of all stakeholders.
Applications of AI in technical and vocational education and training need to be critically assessed to determine their effectiveness in achieving education and skills development goals, and this assessment should be included in product and service development and training plan development.
Smart applications designed for vocational and technical education and training must include mechanisms for monitoring, continuous evaluation and updating of educational content and technologies.
To mitigate the potential risks of AI applications in technical and vocational education and training, ethical, privacy and security rights must be taken into account at all stages of application design and development, and teachers and trainers must be provided with an effective role in the education and training process.
In general, the use of smart technologies in vocational and technical learning and training can be considered useful, but it requires taking caution and staying away from risks and negative points, and artificial intelligence can be useful in vocational and technical education and training, but a balance must be maintained between technology and humanity and avoid the risks and challenges that may arise.
All articles express the views of their owners and not the views of Watan News Agency
Design & Development

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

- **AI-powered models** (e.g., neural networks) analyze vast datasets containing audio samples, mapping unique vocal features.

Title:

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

- Training includes learning pronunciation, emotional cues, and contextual speech patterns, enabling the creation of new utterances indistinguishable from genuine recordings.

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

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

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

Difficult to distinguish from human voice

### What Is It Used For?

Title:

Content: Exploring the role of AI-powered GPUs in enhancing speech recognition technology
Speech recognition technology has become an integral part of our daily lives, from virtual assistants like Siri and Alexa to transcription services and language translation tools.
Behind the scenes, artificial intelligence (AI) is playing a crucial role in fostering these developments.
One of the key components of artificial intelligence that has revolutionized speech recognition is the Graphics Processing Unit (GPU).
What is a GPU?
A graphics processing unit (GPU), or graphics processing unit, is a specialized electronic circuit that speeds up the process of creating and displaying images, videos, and animations.
GPUs were originally designed for games and graphics intensive applications, and have found new applications in AI due to their parallel processing capabilities.
How do GPUs improve speech recognition?
Speech recognition algorithms require enormous computational power to process and analyze vast amounts of voice data.
GPUs excel at performing multiple calculations simultaneously, making them ideal for handling complex mathematical operations associated with speech recognition.
By leveraging the parallel processing capabilities of GPUs, AI models can process audio data faster and more efficiently, improving accuracy and reducing latency.
What are the benefits of using AI GPUs in speech recognition?
The use of AI GPUs in speech recognition technology offers many advantages.
First, it enables real-time transcription and translation services, allowing seamless communication across languages.
In addition, AI-powered GPUs improve the accuracy of speech recognition systems, making them more reliable and easy to use.
Moreover, the speed and efficiency of GPUs enable faster processing times, reducing the response time of virtual assistants and other speech-based applications.
What does the future hold for AI-powered GPUs in speech recognition?
As AI technology continues to advance, the role of GPUs in speech recognition is expected to grow.
As demand grows for more sophisticated speech-based applications, such as natural language understanding and emotion recognition, GPUs will play a crucial role in enabling these advances.
Moreover, as GPUs become more powerful and energy efficient, they will enhance performance and accessibility of speech recognition technology.
In conclusion, AI-powered GPUs have emerged as a change agent in speech recognition technology.
Its parallel processing capabilities enable faster and more accurate analysis of voice data, improving transcription services, language translation tools, and virtual assistants.
As artificial intelligence continues to evolve, the role of GPUs in speech recognition is set to expand, paving the way for more advanced and intuitive speech-based applications.
By

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

timbre
intonation
important vocal nuances

- **Entertainment**: Used in movies, video games, dubbing, and to bring historical figures or deceased actors “back to life” for performances.

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

- **Accessibility**: Helps those who’ve lost their voices (due to illness or injury) retain personal communication via tailored, synthetic voice output.

- **Language learning & education**: Facilitates creation of authentic listening materials, as in your context.

Title:

Content: General Supervision
Elham Aboul Fath
Editor-in-Chief
Thank you for your patience.
General Supervision
Elham Aboul Fath
Editor-in-Chief
Thank you for your patience.
Dean of Languages and Translation at Al-Azhar: Artificial Intelligence has made a big difference in our field
Dr. Khaled Abbas, Dean of the Faculty of Languages and Translation at Al-Azhar University, thanked and appreciated the Grand Imam Dr. Ahmed Al-Tayeb, Sheikh of Al-Azhar for his support and generous sponsorship of the annual conference of the Faculty of Languages and Translation, asking the Almighty to preserve it for the Islamic Ummah, and to grant him health and wellness, and to guide him to what he likes and satisfies.
The Dean of the Faculty welcomed all the attendance of the conference and congratulated Dr. Mahmoud Siddiq, Vice President for Graduate Studies and Research; to renew his appointment as Vice President for Graduate Studies and Research, for a period of four years.
The Dean of the College also thanked and appreciated all the attendees for their interest in participating in this conference, and their keenness to exchange experiences and views and contribute to this scientific event organized by the College of Languages and Translation and includes a group of scientists and researchers in all disciplines of languages.
He said: “It is my pleasure to welcome this blessed elite who are meeting today in this scientific forum, which is the annual scientific conference of the Faculty of Languages and Translation, which comes under the title: (Technology, Translation and Language Teaching: Prospects and Challenges).
He pointed out that the subject of the conference witnessed a wide turnout of researchers from various Egyptian universities and research bodies, where the number of research papers submitted to more than 50 scientific papers, the owners of which carry in their minds before their papers visions and ideas aimed at solving many problems facing the fields of translation and language education in terms of technology and artificial intelligence in recent times.
He pointed out that the conference is a great opportunity to achieve communication between translators of different languages of the world, to represent a bridge of dialogue and understanding, and to open new horizons for cooperation and cultural exchange.
The Dean of the College explained that translation has witnessed in recent years a huge leap thanks to the rapid developments in the field of artificial intelligence; as new smart applications for translation and language education have emerged, which have become the talk of the hour in this field; some have become highly dependent on them in their work and daily life.
He pointed out that artificial intelligence has made a big difference in the field of translation, which is one of the areas that benefit most from it, for sure, translation tools and applications using artificial intelligence are characterized by their accuracy and high efficiency in translating texts, terms and vocabulary, which is reflected in the distinctive results they provide.
In spite of the above, there is now a wide debate and ongoing discussion about the future of translation and the role of artificial intelligence in its fields, which prompted us to hold this conference, which is a good opportunity to answer many of the questions that pose themselves on the scene now, including: Is it possible to dispense with the role of the human translator completely and rely on machine translation by artificial intelligence applications?
What are the limits of artificial intelligence in translating texts and teaching languages? And can it be relied upon or fully trusted in its outputs?.
The Dean of the College replied: We do not want to anticipate the events, these and other questions will be asked in the sessions of the conference, and despite this huge development of applications of artificial intelligence, some believe that the preference is still for the human element, especially in the fields of translation, where communication is accurate, sensitive and fateful, and involves the accurate explanation of the situation, and with complex documents with ambiguous texts or specialized conversations. A small error in disastrous results.
The Dean of the Faculty of Languages and Translation stated that human translation will continue to be more accurate, specific and contextual, and essential in areas that require high accuracy and a deep understanding of the cultural context.
However, the role of these applications as an aid to learning and translation cannot be underestimated, as they contribute to speeding up the learning process and improving the quality of translation.
Abbas added that the conference seeks, through its seminars and scientific sessions over two days, to create a high-level knowledge dialogue on the issues of scientific and technological development in the field of translation and language education in the era of artificial intelligence, in an attempt to keep pace with the special development in this field.

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

- **Fraud & scams**: Unfortunately, the same technology enables deepfake scams (e.g., scammers cloning a family member’s voice to request money in emergencies).

### Legal Implications
- **Consent & Privacy**: Legal frameworks now grapple with the challenge of consent—using someone’s voice likeness without permission can violate privacy laws.

- **Copyright & Ownership**: Debate over who owns the “cloned” voice—original speaker, tech company, or user.

- **Fraudulent Use**: Laws are being updated to criminalize malicious applications, but enforcement is complex due to cross-jurisdictional use and rapid technological advances.

### Real-World Examples
- **Phone scams**: Scammers use cloned voices to impersonate family members, requesting urgent funds.

- **Entertainment**: High-profile instances of celebrities’ voices being synthetically recreated for advertisements or posthumous film roles.

- **Language learning**: AI-generated voices now assist in language instruction and material creation, speeding up curriculum development.

Title:

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

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

### Ethical Challenges
- **Authenticity & Trust**: As synthetic voices become indistinguishable from real ones, verifying identity over audio is increasingly difficult, raising the risk of manipulation and social harm.

What are some risks regarding AI voice clning?

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

Difficult to distinguish from human voice

- **Bias & Fairness**: AI voice models can inherit biases from training data, potentially affecting language learning or automated translation systems.

What are some risks regarding AI voice clning?

- **Cultural Impact**: While AI enhances communication, overreliance may risk language authenticity and reduce opportunities for real human interaction.