Voicebox by Meta

Voice Modulation

Voicebox by Meta

Voicebox: Revolutionizing Generative AI for Speech

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About Voicebox by Meta

Voicebox by Meta AI is a groundbreaking generative AI model for speech. It boasts the unique ability to generalize to speech-generation tasks it wasn't specifically trained for, thanks to a novel approach based on Flow Matching. This enables Voicebox to learn from raw audio and accompanying transcriptions, allowing for unparalleled modification capabilities in any part of a given sample. The model sets new standards by outperforming existing models like VALL-E and YourTTS in intelligibility, audio similarity, and word error rate, all while being significantly faster. With over 50,000 hours of training data from public domain audiobooks in multiple languages, Voicebox excels in delivering high-quality, varied, and multilingual speech synthesis. While the model itself isn't publicly available to mitigate misuse risks, Meta provides extensive research materials and audio samples to showcase its potential. Voicebox opens a new frontier in speech generation, offering advancements in in-context text-to-speech synthesis, noise removal, cross-lingual style transfer, and more.

Key Features

  • Generative AI for speech
  • Flow Matching technique
  • Zero-shot text-to-speech
  • Cross-lingual style transfer
  • Noise removal
  • Content editing
  • Multiple language support
  • State-of-the-art performance
  • 50,000 hours of training data
  • Not publicly available due to ethical considerations

Tags

generative AI modelspeechFlow Matchingraw audiointelligibilityaudio similarityprocessing speedcross-lingual style transfernoise removalcontent editingmultilingualpublic domain audiobooks

FAQs

What is Voicebox?
Voicebox is a state-of-the-art generative AI model developed by Meta AI for creating and modifying speech outputs from audio samples.
How does Voicebox learn?
Voicebox uses a novel approach called Flow Matching to learn from raw audio and accompanying transcriptions, allowing it to modify any part of an audio sample.
What makes Voicebox different from other models?
Unlike other models, Voicebox can generalize to speech-generation tasks it was not specifically trained for, achieving superior performance in terms of intelligibility and audio similarity.
What kind of data was used to train Voicebox?
Voicebox was trained on 50,000 hours of recorded speech and transcripts from public domain audiobooks in multiple languages including English, French, Spanish, German, Polish, and Portuguese.
Is Voicebox publicly available?
No, Voicebox or its code is not publicly available due to potential risks of misuse. However, Meta has shared audio samples and a research paper detailing its approach and results.
What are the practical applications of Voicebox?
Voicebox can perform a variety of tasks such as text-to-speech synthesis, noise removal, content editing, and cross-lingual style transfer.
What are the performance metrics where Voicebox excels?
Voicebox outperforms existing models like VALL-E and YourTTS in terms of intelligibility, audio similarity, and processing speed.
How does Voicebox handle style and content?
Voicebox is capable of creating outputs in a variety of styles and can both synthesize new speech and modify given samples, including conversion and noise removal.
What methodology is Voicebox based on?
Voicebox employs the Flow Matching approach, improving upon the principles of diffusion models used in generative AI.
What languages does Voicebox support?
Voicebox can synthesize speech in six languages: English, French, Spanish, German, Polish, and Portuguese.