Darwin TTS

Darwin TTS TTS

A Qwen3-TTS variant whose talker FFN weights are blended from the Qwen3 language model for sharper cross-lingual cloning.

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Wrap uw tekst in SSML-tags voor nauwkeurige controle:

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

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Dit model leest platte tekst, dus inline tags worden genegeerd. Voor emotie op basis van tags, schakel naar een expressief model zoals Orpheus of Bark.

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-12 +12
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Info Darwin TTS

Darwin-TTS-1.7B-Cross by FINAL-Bench is a research variant of Qwen3-TTS-1.7B with an unusual construction: 84 of its talker-FFN tensors (about 8.6% of them) are blended at a 3% ratio with the matching tensors from Qwen3-1.7B-Base, all without any retraining. The result is a model that produces noticeably crisper cross-lingual voice cloning across Korean, English, Japanese, and Chinese — its four core languages. It operates in zero-shot voice-clone mode, needing only about three seconds of reference audio to capture a speaker. Darwin is best suited to transferring a single reference voice across those four languages, for example dubbing or multilingual narration with consistent speaker identity.

Beste voor: Cross-lingual voice cloning between English / Korean / Japanese / Chinese with a single reference voice

Alles doorbladeren Darwin TTS stemmen

In een oogopslag

Ontwikkelaar
FINAL-Bench
Licentie
Apache 2.0
Niveau
standard
Snelheid
medium
Klonen van stemmen
Ja.
Talen
English, Korean, Japanese, Chinese
Max. tekens
2000

Darwin TTS stemmen

Default

English
Standaard Neutral

Default (Chinese)

Chinese
Standaard Neutral

Default (Japanese)

Japanese
Standaard Neutral

Default (Korean)

Korean
Standaard Neutral

Darwin TTS Veelgestelde vragen

Darwin starts from Qwen3-TTS-1.7B but blends a small fraction of its talker-FFN weights with the matching weights from the Qwen3-1.7B base language model. This training-free blend sharpens cross-lingual voice cloning rather than changing the base voices.

English, Korean, Japanese, and Chinese. The FINAL-Bench release specifically markets its cross-lingual blend for those four, and the deployed model ships voices for them.

About three seconds. It works in zero-shot mode, so no fine-tuning or training is required — you provide a short reference clip and it generates new speech in that voice.
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