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CosyVoice: supervised semantic speech tokens with LM/flow synthesis

Contribution grade

Speech tokenization and synthesis · Human-designed research method or resource

Reference score70,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Inserted vector quantization into a multilingual recognition encoder to obtain supervised semantic tokens, coupling text-to-token language modeling with conditional-flow speech rendering.

Scientific scope

Inserted vector quantization into a multilingual recognition encoder to obtain supervised semantic tokens, coupling text-to-token language modeling with conditional-flow speech rendering. Inherits Whisper, quantization, language modeling and flow matching. Acquired delta is supervised speech-token interface and synthesis integration, not first semantic audio tokens. Voice-cloning benchmark gains are source-specific; no clone generated.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits Whisper, quantization, language modeling and flow matching. Acquired delta is supervised speech-token interface and synthesis integration, not first semantic audio tokens. Voice-cloning benchmark gains are source-specific; no clone generated.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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