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Chatterbox Turbo is a 350M parameter open-source text-to-speech (TTS) model that delivers fast, expressive voice synthesis with built-in safety features. It runs up to 6× faster than real-time on a single GPU, with latency as low as 75ms — making it suitable for real-time applications. The model is released under the MIT license and is the first open-source TTS to include PerTh watermarking on every generated audio output, ensuring provenance and accountability.
Chatterbox Turbo introduces text-based tags that let you control natural vocal reactions — including [sigh], [gasp], [cough], [laugh], [whisper], and [breath]. These reactions are performed in the cloned voice with the same emotional tone, requiring no post-processing or manual audio editing.
Clone any voice from just 5 seconds of reference audio — no training run, no fine-tuning required. The model outperforms proprietary closed-source models in head-to-head testing, with a 65.3% win rate against ElevenLabs Turbo v2.5 and 59.1% against VibeVoice 7B.
Every audio file generated by Chatterbox Turbo is authenticated by Resemble AI’s PerTh Watermarker. This ensures you can always verify when content was created by the model, maintaining high audio quality while enabling accountability in production deployments.
A unique feature among open-source TTS models: adjust emotional intensity from monotone to dramatically expressive with a single parameter. This gives fine-grained control over delivery without requiring complex prompt engineering.
The only open-source TTS that doesn’t ask you to choose between speed, expressiveness, and safety.
Chatterbox Turbo is the first open-source TTS model to ship with built-in PerTh watermarking as a default feature — not an afterthought. This means developers can deploy fast, expressive voice AI in production while maintaining provenance and accountability. Combined with paralinguistic prompting and zero-shot cloning from just 5 seconds of audio, it offers a rare combination of performance, control, and trustworthiness in a single MIT-licensed package.
You need a fast, open-source TTS model that runs on a single GPU, supports real-time voice synthesis, and includes built-in safety features. It’s especially relevant if you’re building voice assistants, interactive media, or any application where accountable AI-generated speech matters — and you want to avoid proprietary lock-in or complex post-processing pipelines.
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