Chatterbox

Chatterbox TTS

Resemble AI's state-of-the-art zero-shot voice cloning model with independent emotion control.

Inscríbete límite de 5. 000 caracteres

Incluír o texto en etiquetas SSML para un control preciso:

<speak><prosody rate="slow">Slow speech</prosody></speak>

Etiquetas que o modelo escollido entende - prema para deixar unha no texto onde ocorre:

Este modelo le texto simple, polo que se ignoran as etiquetas inline. Para emocións baseadas en etiquetas, cambie a un modelo expresivo como Orpheus ou Bark.

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Acerca de Chatterbox

Chatterbox by Resemble AI is a leading open-source zero-shot voice cloning model that replicates a voice from a single audio sample, capturing not just timbre but speaking style and emotional nuance. Its distinctive feature is fine-grained emotion control that operates independently of the voice identity, so you can keep a cloned voice but shift its emotional intensity. Built around ResembleEnhance and flow matching, it targets professional-grade cloning for content creation, dubbing, and character voices. Released under the permissive MIT license, Chatterbox has become a popular foundation for derivative models — TTS.ai also runs a Saudi-Arabic fine-tune of it. It favors quality, with a modest per-request character limit.

Mellor para: Professional voice cloning with emotional control, content creation

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De un vistazo

Desenvolvente
Resemble AI
Licenza
MIT
Tier
premium
Velocidade
medium
Clonaxe de voz
Si
Linguas
English
Caracteres máximos
300

Chatterbox voces

Default

English
Premium Neutral

Chatterbox TTS - FAQ

A single audio sample is enough. Chatterbox is a zero-shot cloning model, so it captures a voice — including its style and emotional nuance — from one reference clip without any fine-tuning.

It offers fine-grained emotion control that works independently from the voice identity, letting you adjust the emotional tone of the output while keeping the same cloned voice.

Yes. Chatterbox is released by Resemble AI under the MIT license, which permits commercial use, and it serves as the base for several fine-tuned derivative models.
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