Meta’s AI Voicebox Aims to Revolutionize Audio Generation like ChatGPT and Dall-E Did for Text and Image.

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Meta Platforms, the parent company of Facebook, has announced the development of an advanced AI model called Voicebox that can produce life-like, contextually accurate speech output from text while also completing tasks it was not specifically trained for. This technology is reminiscent of OpenAI’s ChatGPT for text output and Dall-E for image generation. Voicebox is built on a non-autoregressive flow-matching model that uses more than 50,000 hours of diverse, unfiltered audio in multiple languages for training. The AI model can produce conversationally fluid speech in various languages, effectively removing background noise and replacing spoken words. In addition, Meta’s zero-shot text-to-speech training method known as Flow Matching enables the AI system to mimic subjects without extensive source material. Though the potential applications of Voicebox are limitless, Meta has decided not to make the app or its source code publicly available due to concerns about potential misuse.

At the time of writing, Meta shares were trading up 0.92% at $284.42.

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Frequently Asked Questions (FAQs) Related to the Above News

What is Meta's AI voicebox technology?

Meta's AI voicebox is an advanced AI model that can produce life-like speech output from text while completing tasks it wasn't specifically trained for.

Is the AI model similar to OpenAI's ChatGPT and Dall-E?

Yes, the AI model is similar to OpenAI's ChatGPT and Dall-E in terms of its ability to generate text and image output respectively.

How does Voicebox work?

Voicebox is built on a non-autoregressive flow-matching model that uses more than 50,000 hours of diverse, unfiltered audio in multiple languages for training. The AI model can produce conversationally fluid speech in various languages, effectively removing background noise and replacing spoken words.

What is the training method used by Voicebox?

Meta's zero-shot text-to-speech training method known as Flow Matching enables the AI system to mimic subjects without extensive source material.

Will the app or source code be publicly available?

No, Meta has decided not to make the app or its source code publicly available due to concerns about potential misuse.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Aniket Patel
Aniket Patel
Aniket is a skilled writer at ChatGPT Global News, contributing to the ChatGPT News category. With a passion for exploring the diverse applications of ChatGPT, Aniket brings informative and engaging content to our readers. His articles cover a wide range of topics, showcasing the versatility and impact of ChatGPT in various domains.

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