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.

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.

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Voicebox by Meta

Name: Voicebox by Meta
Brand: Voicebox by Meta
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Author: Voicebox by Meta

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Last updated: August 8, 2024

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What is Voicebox by Meta?

Meta AI researchers have unveiled Voicebox, a cutting-edge generative AI model for speech that sets new standards in the field. Voicebox leverages a novel approach called Flow Matching to learn from raw audio and transcriptions, enabling it to modify any part of a given audio sample. It has outperformed existing models like VALL-E and YourTTS in terms of intelligibility, audio similarity, and processing speed. Voicebox has been trained on 50,000 hours of public domain audiobooks in multiple languages and can perform diverse tasks such as cross-lingual style transfer, noise removal, and content editing. Despite its capabilities, the model or code is not publicly accessible due to potential misuse, though Meta has shared audio samples and research papers detailing its functionalities.

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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

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Voicebox by Meta's pricing

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