Patent ID: 11875775
Assignee: NANJING SILICON INTELLIGENCE TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A voice conversion method, characterized by comprising steps of:
by a speaker-independent automatic speech recognition model, converting a mel-scale frequency cepstral coefficients feature of an inputted source speech into a bottleneck feature of the source speech through the bottleneck layer, and outputting the bottleneck feature of the source speech to an Attention voice conversion network through the bottleneck layer;
where a training method for the speaker-independent automatic speech recognition model comprises:
inputting a number of a character encoding to which a word in a multi-speaker speech recognition training corpus is converted, together with a mel-scale frequency cepstral coefficients feature of the multi-speaker speech recognition training corpus, to the speaker-independent automatic speech recognition model; executing a backward propagation algorithm; and performing iterative optimization until the speaker-independent automatic speech recognition model is converged;
converting, by the Attention voice conversion network, the bottleneck feature of the source speech into a mel-scale frequency cepstral coefficients feature in conformity with a target speech; and
converting, by a neural network vocoder, the mel-scale frequency cepstral coefficients feature in conformity with the target speech into and output audio.