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๐Ÿ”Š Text-Prompted Generative Audio Model

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๐Ÿถ Bark

Docker Container for Bark Repo

Bark is a transformer-based text-to-audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. The model can also produce nonverbal communications like laughing, sighing and crying. To support the research community, we are providing access to pretrained model checkpoints, which are ready for inference and available for commercial use.

Output

Running the above bark container uses the small model which runs on cpu at port 8000, the response will a stream of the generated audio.

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  • Jupyter Notebook 57.4%
  • Python 42.4%
  • Dockerfile 0.2%