Chatterbox TTS

Summary

Chatterbox TTS _Made with ♥️ by We're excited to introduce Chatterbox, Resemble AI's first production-grade open source TTS model. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs, and is consistently preferred in side-by-side evaluations. Whether you're working on memes, videos, games, or AI agents, Chatterbox brings your content to life. It's also the first open source TTS model to support emotion exaggeration control, a powerful feature that makes your voices stand out. Try it now on our Hugging Face Gradio app. If you like the model but need to scale or tune it for higher accuracy, check out our competitively priced TTS service (link). It delivers reliable performance with ultra-low latency of sub 200ms—ideal for production use in agents, applications, or interactive media. Key Details SoTA zeroshot TTS 0.5B Llama backbone Unique exaggeration/intensity control Ultra-stable with alignment-informed inference Trained on 0.5M hours of cleaned data Watermarked outputs Easy voice conversion script Outperforms ElevenLabs Tips General Use (TTS and Voice Agents): The default settings ( exaggeration=0.5 , cfg_weight=0.5 ) work well for most prompts. If the reference speaker has a fast speaking style, lowering cfg_weight to around 0.3 can improve pacing. Expressive or Dramatic Speech: Try lower cfg_weight values (e.g. ~0.3 ) and increase exaggeration to around 0.7 or higher. Higher exaggeration tends to speed up speech; reducing cfg_weight helps compensate with slower, more deliberate pacing. Installation pip install chatterbox-tts Alternatively, you can install from source: # conda create -yn chatterbox python=3.11 # conda activate chatterbox git clone https://github.com/resemble-ai/chatterbox.git cd chatterbox pip install -e . We developed and tested Chatterbox on Python 3.11 on Debain 11 OS; the versions of the dependencies are pinned in pyproject.toml to ensure consistency. You can modify the code or dependencies...