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

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Om 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.

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

Gennemse alle Darwin TTS stemmer

Et blik

Udvikler
FINAL-Bench
Licens
Apache 2.0
Metodetrin
standard
Hastighed
medium
Stemmekloning
Ja
Sprog
English, Korean, Japanese, Chinese
Maks. tegn
2000

Darwin TTS stemmer

Default

English
Standard Neutral

Default (Chinese)

Chinese
Standard Neutral

Default (Japanese)

Japanese
Standard Neutral

Default (Korean)

Korean
Standard Neutral

Darwin TTS Ofte stillede spørgsmål om TTS

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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