Technical Implementation of Efficient Tone Cloning
The core technological innovation of CosyVoice is to break through the limitation that traditional speech cloning requires several minutes of sample training, and to achieve feature extraction and generalization of 3-second short speech by means of a contrastive learning framework. The system adopts the Variable Auto-Encoder (VAE) structure to encode 1-3 seconds of reference audio into 128-dimensional timbre vectors, together with the attention mechanism to realize decoupling and reorganization of timbre features. Practical tests show that the timbre similarity of 97% can be achieved using 15-second samples, and cross-language timbre preservation is supported. The developer can realize this function through simple API calls:
cosyvoice.inference_zero_shot(
text=,
prompt_text=,
prompt_speech=)
The technology has been validated in the fields of intelligent customer service, virtual idol, etc. Compared with commercial solutions such as Resemble.AI, it has an obvious advantage in the fidelity of Chinese tones.
This answer comes from the articleCosyVoice: Ali open source multilingual cloning and generation toolsThe
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