Voicebox by Meta

Discover Voicebox by Meta AI, a groundbreaking generative AI model for speech that outperforms existing models in multiple metrics.

Voice Modulation Updated 12 seconds ago

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Voicebox by Meta's Top 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

Frequently asked questions about Voicebox by Meta

Voicebox is a state-of-the-art generative AI model developed by Meta AI for creating and modifying speech outputs from audio samples.

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.

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.

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.

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.

Voicebox can perform a variety of tasks such as text-to-speech synthesis, noise removal, content editing, and cross-lingual style transfer.

Voicebox outperforms existing models like VALL-E and YourTTS in terms of intelligibility, audio similarity, and processing speed.

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.

Voicebox employs the Flow Matching approach, improving upon the principles of diffusion models used in generative AI.

Voicebox can synthesize speech in six languages: English, French, Spanish, German, Polish, and Portuguese.