Nirman
ResembleAI

ResembleAI/chatterbox

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Model Documentation

cb-big2

Chatterbox TTS





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09/04 🔥 Introducing Chatterbox Multilingual in 23 Languages!

We're excited to introduce Chatterbox and Chatterbox Multilingual, Resemble AI's production-grade open source TTS models. Chatterbox Multilingual supports Arabic, Danish, German, Greek, English, Spanish, Finnish, French, Hebrew, Hindi, Italian, Japanese, Korean, Malay, Dutch, Norwegian, Polish, Portuguese, Russian, Swedish, Swahili, Turkish, Chinese out of the box. 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

  • Multilingual, zero-shot TTS supporting 23 languages
  • SoTA zeroshot English 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=0.5) work well for most prompts.
  • If the reference speaker has a fast speaking style, lowering cfg to around 0.3 can improve pacing.


  • Expressive or Dramatic Speech:
  • Try lower cfg values (e.g. ~0.3) and increase exaggeration to around 0.7 or higher.
  • Higher exaggeration tends to speed up speech; reducing cfg helps compensate with slower, more deliberate pacing.


    • *Note:* Ensure that the reference clip matches the specified language tag. Otherwise, language transfer outputs may inherit the accent of the reference clip’s language. *To mitigate this, set the CFG weight to 0.*

    Installation

    
pip install chatterbox-tts


    Usage

    python
import torchaudio as ta
from chatterbox.tts import ChatterboxTTS

    model = ChatterboxTTS.from_pretrained(device="cuda")

    text = "Ezreal and Jinx teamed up with Ahri, Yasuo, and Teemo to take down the enemy's Nexus in an epic late-game pentakill."
wav = model.generate(text)
ta.save("test-1.wav", wav, model.sr)

    If you want to synthesize with a different voice, specify the audio prompt
    
AUDIO_PROMPT_PATH="YOUR_FILE.wav"
wav = model.generate(text, audio_prompt_path=AUDIO_PROMPT_PATH)
ta.save("test-2.wav", wav, model.sr)


    Multilingual Quickstart

    python
import torchaudio as ta
from chatterbox.mtl_tts import ChatterboxMultilingualTTS

    multilingual_model = ChatterboxMultilingualTTS.from_pretrained(device="cuda")

    french_text = "Bonjour, comment ça va? Ceci est le modèle de synthèse vocale multilingue Chatterbox, il prend en charge 23 langues."
wav_french = multilingual_model.generate(french_text, language_id="fr")
ta.save("test-french.wav", wav_french, model.sr)

    chinese_text = "你好，今天天气真不错，希望你有一个愉快的周末。"
wav_chinese = multilingual_model.generate(chinese_text, language_id="zh")
ta.save("test-chinese.wav", wav_chinese, model.sr)
    See example_tts.py for more examples.

    Acknowledgements

  • Cosyvoice
  • HiFT-GAN
  • Llama 3


    • Built-in PerTh Watermarking for Responsible AI



    Every audio file generated by Chatterbox includes Resemble AI's Perth (Perceptual Threshold) Watermarker
  • imperceptible neural watermarks that survive MP3 compression, audio editing, and common manipulations while maintaining nearly 100% detection accuracy.


    • Disclaimer

    Don't use this model to do bad things. Prompts are sourced from freely available data on the internet.

    Files & Weights

    FilenameSizeAction
    conds.pt 0.00 GB
    s3gen.pt 0.98 GB
    s3gen.safetensors 0.98 GB
    t3_23lang.safetensors 2.00 GB
    t3_cfg.pt 0.99 GB
    t3_cfg.safetensors 1.98 GB
    t3_mtl23ls_v2.safetensors 2.00 GB
    ve.pt 0.01 GB
    ve.safetensors 0.01 GB