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Chatterbox

Chatterbox TTS

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

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Wrap test tiegħek fil-tags SSML għall-kontroll preċiż:

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

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Dan il-mudell jaqra test sempliċi, għalhekk it-tags inline huma injorati.Għal emozzjoni bbażata fuq it-tag, aqleb għal mudell espressiv bħal Orpheus jew Bark.

Iddefinixxi pronunzji tad-dwana (kelma = pronunzja):

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0.5x 2.0x
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Dwar 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.

L-aħjar għal: Professional voice cloning with emotional control, content creation

Ibbrawżja kollox Chatterbox vuċijiet

Daqqa t'għajn

Żviluppatur
Resemble AI
Liċenzja
MIT
Annimali
premium
Veloċità
medium
Klonazzjoni tal-vuċi
Iva
Lingwi
English
Karattri massimi
300

Chatterbox vuċijiet

Default

English
Primjum Neutral

Chatterbox TTS — Mistoqsijiet Frekwenti

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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