Audio
ChatTTS
A generative speech model built for daily dialogue — natural, conversational text-to-speech
★ 39.9k starsAGPL-3.0
View guide →Suno's text-prompted generative audio model: speech, music and sound effects from text prompts
bark is an open-source audio project by suno-ai (suno-ai/bark on GitHub). It has 39,268 GitHub stars and 4,661 forks, is released under the MIT license, and was last updated on GitHub on 19 August 2024.
Decide what you want from bark and check the README and requirements to confirm it fits your setup and Jupyter Notebook environment.
Clone the repository from GitHub (github.com/suno-ai/bark) or use the documented install channel if you do not need the source.
Follow the README quickstart to install dependencies and set any required configuration or credentials.
Work through the README's first example end to end, then adapt it to your own project or data.
Generates audio from text prompts — speech, music and sound effects in one model.
Supports multiple languages for spoken generation.
Can produce laughter, sighs and other non-verbal sounds from prompt cues.
Simple Python API for generating audio in a few lines.
Also usable through Hugging Face Transformers.
Ships a command-line interface for quick generation.
Start by getting the source and entering the project directory.
git clone https://github.com/suno-ai/bark.git
cd barkClone the repo and install it in editable mode, per the README installation section.
git clone https://github.com/suno-ai/bark.git
cd bark
pip install . # see README for the exact commandUse the Python API to generate and save your first clip.
python -c "from bark import generate_audio, SAMPLE_RATE; print(SAMPLE_RATE)" # see README Usage in PythonIt is maintained by suno-ai and contributors on GitHub, where the repository github.com/suno-ai/bark is the canonical home for code, issues and releases.
Yes — it is open source under the MIT license. Read the license in the repository for what is permitted, including any conditions on redistribution or commercial use.
No. Bark runs locally; a GPU noticeably speeds up generation.
Compared with Coqui TTS: Bark generates music and sound effects as well as speech from prompts, while Coqui TTS focuses on speech synthesis models.
Clone github.com/suno-ai/bark, follow the README quickstart to install it, and run the documented first example before adapting it to your own work.
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