Voicebox logo

Voicebox

Voicebox by Meta is an advanced AI for multilingual speech synthesis, editing, and denoising, using Flow Matching technology.
Visit website
Share this
Voicebox

What is Voicebox?

Voicebox by Meta is an innovative generative AI model for speech developed by Meta AI researchers. It introduces state-of-the-art performance by being able to generalize to speech-generation tasks it was not specifically trained for. Voicebox utilizes a novel approach called Flow Matching, allowing it to learn from raw audio and an accompanying transcription, enabling modification of any part of a given sample, not just the end as in traditional models. This model can synthesize speech in six languages, perform tasks like noise removal, content editing, style conversion, diverse sample generation, and achieve superior performance metrics compared to existing models.

Voicebox's versatility and capabilities make it suitable for various applications such as in-context text-to-speech synthesis, cross-lingual style transfer, speech denoising, and editing. Additionally, it is trained on more than 50,000 hours of recorded speech and transcripts from public domain audiobooks in six languages. While Voicebox is not publicly available to prevent potential misuse, it shows promise for tasks ranging from aiding those who cannot speak to enhancing virtual assistant interactions and facilitating speech assistant model training.

Who created Voicebox?

Voicebox by Meta was created by a team of researchers including Matt Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, and Wei-Ning Hsu. Voicebox was launched on June 16, 2023. This generative AI model for speech is a breakthrough in the field, allowing for speech synthesis across six languages and offering features like noise removal, content editing, style conversion, and diverse sample generation.

What is Voicebox used for?

  • Synthetic data generation
  • Content editing
  • In-context text-to-speech synthesis
  • Cross-lingual style transfer
  • Speech denoising and editing
  • Diverse speech sampling
  • Style conversion
  • Efficient model classifier
  • Virtual assistant voices
  • Task generalization

Who is Voicebox for?

  • Virtual assistant developers
  • Speech Recognition Researchers
  • Audio editors
  • Non-Player Character Voice Designers
  • Speech Synthesizer Engineers
  • Speech recognition model developers
  • Speech synthesis experts
  • Audio content editors
  • Language translators

How to use Voicebox?

To use Voicebox by Meta, follow these steps:

  1. Training: Voicebox trains on diverse, unstructured data without requiring labeled inputs using Flow Matching.
  2. Languages: It can synthesize speech in English, French, Spanish, German, Polish, and Portuguese.
  3. Features: Offers noise removal, content editing, style conversion, diverse sample generation, and in-context text-to-speech synthesis.
  4. Performance: Voicebox outperforms traditional models with superior word error rate and audio similarity metrics.
  5. Modifications: It can modify any part of an audio sample and perform in-context text-to-speech synthesis.
  6. Training Data: Trained on 50,000+ hours of recorded speech and transcripts from public domain audiobooks.
  7. Usage: Not available to the public as of now due to misuse risks.
  8. Applications: Potential applications include personalized virtual assistant voices, multilingual speech, and synthetic data generation.
  9. Efficiency: Voicebox is 20 times faster than existing models, making it highly efficient.
Pros
  • Superior audio similarity metrics
  • Diverse sample generation
  • Can modify any sample part
  • In-context text-to-speech synthesis
  • Performs cross-lingual style transfer
  • Performs speech denoising
  • Performs speech editing
  • Performs diverse speech sampling
  • Outperforms other models
  • Superior word error rate
  • Performs style conversion
  • Cross-lingual style transfer
  • Speech denoising
  • Speech editing
  • Diverse speech sampling
Cons
  • Not available to public
  • Potential for misuse
  • Requires a lot of data
  • Limited to six languages
  • 20 times slower than Vall-E
  • Depends on Flow Matching
  • Doesn't support task-specific training
  • Currently lacks public API
  • Lacks verification functionality
  • No open-source code

Voicebox FAQs

What are the key features of Voicebox by Meta?
Voicebox by Meta is a generative AI model for speech that uses a new approach called Flow Matching. It can train on diverse, unstructured data without requiring carefully labeled inputs. It can produce high-quality audio clips in a variety of styles and synthesize speech across six languages. Other features include noise removal, content editing, style conversion, and diverse sample generation. Unlike existing models, it can modify any part of a given sample, not just the end, making it versatile across different tasks.
What does the Flow Matching approach utilized by Voicebox entail?
Flow Matching is a new approach developed by Meta that enables highly non-deterministic mapping between text and speech. This allows Voicebox to learn from varied speech data without the need for carefully labeled variations, enabling training on significantly more diverse and larger scales of data.
In what languages can Voicebox synthesize speech?
Voicebox can synthesize speech in six languages: English, French, Spanish, German, Polish, and Portuguese.
How does Voicebox perform in terms of word error rate and audio similarity metrics compared to existing models?
Voicebox outperforms the current state-of-the-art model, VALL-E, achieving superior word error rate and audio similarity metrics.
What makes Voicebox different from traditional speech synthesizers?
Voicebox can learn from raw audio and accompanying transcriptions, allowing it to modify any part of a given sample while traditional synthesizers typically require specific training for each task and can only modify the end part of an audio clip.
How can Voicebox modify any part of a given audio sample?
Voicebox can predict a speech segment by analyzing the surrounding speech and transcript, enabling it to generate or modify audio in any part of a recording without the need to recreate the entire input.
Is Voicebox available for public use?
No, Voicebox is not available to the public at present.
What are the potential applications of Voicebox?
The potential applications of Voicebox include in-context text-to-speech synthesis, cross-lingual style transfer, speech denoising, editing, and diverse speech sampling for synthetic data generation to improve speech assistant models.

Get started with Voicebox

Voicebox reviews

How would you rate Voicebox?
What’s your thought?
Be the first to review this tool.

No reviews found!

Voicebox alternatives

MirrorThink enhances scientifi...

Ai-SPY detects human-generated...

AgentOps provides analytics an...

Compares AI models and generat...

TweetDetective identifies AI-g...