CosyVoice 2

CosyVoice 2 TTS

Alibaba Tongyi Lab's streaming TTS reaching human-parity naturalness with near-zero latency and zero-shot cloning.

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

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Informazioni CosyVoice 2

CosyVoice 2, from Alibaba's Tongyi Lab, was designed to make high-quality speech viable in real time. It uses a finite scalar quantization approach combined with flow matching to support streaming synthesis at extremely low latency, while reaching human-comparable naturalness that outperforms many commercial systems in subjective tests. Beyond quality, it offers zero-shot voice cloning from about 3 seconds of audio, cross-lingual synthesis, and fine-grained emotion control. Covering 8 languages with a 1,000-character cap, it's a strong fit for voice assistants, streaming TTS, and other real-time applications.

Meglio per: Real-time applications, streaming TTS, voice assistants

Sfoglia tutti CosyVoice 2 voci

A colpo d'occhio

Sviluppatore
Alibaba (Tongyi Lab)
Licenza
Apache 2.0
Livello
standard
Velocità
medium
Clonazione vocale
Lingue
English, Chinese, Japanese, Korean, French, German, Italian, Spanish
Caratteri massimi
1000

CosyVoice 2 voci

Chinese Female

Chinese
Standard Female

Chinese Male

Chinese
Standard Male

English Female

English
Standard Female

English Male

English
Standard Male

French Female

French
Standard Female

German Female

German
Standard Female

Italian Female

Italian
Standard Female

Japanese Female

Japanese
Standard Female

Korean Female

Korean
Standard Female

Spanish Female

Spanish
Standard Female

CosyVoice 2 FAQ del TTS

Yes. CosyVoice 2 uses finite scalar quantization for streaming synthesis at very low latency, which is what makes it suitable for voice assistants and real-time applications.

Yes. It offers zero-shot voice cloning from roughly 3 seconds of reference audio, plus cross-lingual synthesis and emotion control.

Yes. CosyVoice 2 is Apache 2.0 licensed. It supports 8 languages: English, Chinese, Japanese, Korean, French, German, Italian, and Spanish.
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