README

!Chatterbox Multilingual Image


 Chatterbox TTS

 [!IMPORTANT]
 As of August 2026, Chatterbox is retired research and is no longer maintained.

 Resemble AI does not sell text-to-speech, voice cloning, or any other voice AI product, and this repository is not a Resemble AI product. The code stays public as an archive under the MIT license, with no support, updates, or paid tier.

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Chatterbox is a family of state-of-the-art, open-source text-to-speech models by Resemble AI.

 Latest Release: Chatterbox Multilingual V3

Chatterbox Multilingual V3 is the latest general-purpose multilingual TTS model in the Chatterbox family. It keeps the same 0.5B model size while improving speaker similarity, reducing hallucinations, and producing more natural, conversational speech across languages.

V3 is designed for broad language coverage like V2, but with stronger stability and more expressive generation. It is the recommended multilingual model for users who want one voice cloning model that works across many languages.

Alongside V3, we are releasing the Single Language Pack: dedicated finetunes for priority languages where tighter quality control, stronger language-specific behavior, and more specialized speech generation are valuable.

- Broad Multilingual Coverage: Designed as the main general-purpose multilingual Chatterbox model, supporting wide language coverage similar to V2.
- Single Language Pack: Dedicated single-language models provide stronger specialization and quality control where language- and regional-dialect-specific performance matters most.
- More Consistent Speaker Similarity: Improves voice identity and accent preservation across languages, making cross-language voice cloning more stable and reliable.
- Reduced Hallucination: V3 is optimized to reduce unwanted continuation, repetition, and off-prompt speech, especially in cases where earlier multilingual models were less stable.

For low-latency English voice agents, Chatterbox-Turbo is our most efficient model. Built on a streamlined 350M parameter architecture, Turbo delivers high-quality speech with less compute and VRAM than our previous models. We have also distilled the speech-token-to-mel decoder, previously a bottleneck, reducing generation from 10 steps to just one, while retaining high-fidelity audio output.

Paralinguistic tags are now native to the Turbo model, allowing you to use [cough], [laugh], [chuckle], and more to add distinct realism. While Turbo was built primarily for low-latency voice agents, it excels at narration and creative workflows.

For the most resource-constrained deployments, Chatterbox-Nano shares Turbo's architecture in an even smaller 110M parameter package. It targets on-device and CPU inference — running 3x faster than realtime on 8 CPU cores — while keeping the same single-step decoder an