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Model Card: Bark

This is the official codebase for running the text to audio model, from Suno.ai.

The following is additional information about the models released here.

Model Details

Bark is a series of three transformer models that turn text into audio.

Text to semantic tokens

Semantic to coarse tokens

  • Input: semantic tokens
  • Output: tokens from the first two codebooks of the EnCodec Codec from facebook

Coarse to fine tokens

  • Input: the first two codebooks from EnCodec
  • Output: 8 codebooks from EnCodec

Architecture

Model Parameters Attention Output Vocab size
Text to semantic tokens 80 M Causal 10,000
Semantic to coarse tokens 80 M Causal 2x 1,024
Coarse to fine tokens 80 M Non-causal 6x 1,024

Release date

April 2023

Broader Implications

We anticipate that this model's text to audio capabilities can be used to improve accessbility tools in a variety of languages. Straightforward improvements will allow models to run faster than realtime, rendering them useful for applications such as virtual assistants.

While we hope that this release will enable users to express their creativity and build applications that are a force for good, we acknowledge that any text to audio model has the potential for dual use. While it is not straightforward to voice clone known people with Bark, they can still be used for nefarious purposes. To further reduce the chances of unintended use of Bark, we also release a simple classifier to detect Bark-generated audio with high accuracy (see notebooks section of the main repository).