Self-training WaveNet for text-to-speech

A method of self-training WaveNet includes receiving a plurality of recorded speech samples and training a first autoregressive neural network using the plurality of recorded speech samples. The trained first autoregressive neural network is configured to output synthetic speech as an audible repres...

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Bibliographische Detailangaben
Hauptverfasser: Kenter, Tom Marius, Clark, Robert, Sharma, Manish
Format: Patent
Sprache:eng
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Zusammenfassung:A method of self-training WaveNet includes receiving a plurality of recorded speech samples and training a first autoregressive neural network using the plurality of recorded speech samples. The trained first autoregressive neural network is configured to output synthetic speech as an audible representations of a text input. The method further includes generating a plurality of synthetic speech samples using the trained first autoregressive neural network. The method additionally includes training a second autoregressive neural network using the plurality of synthetic speech samples from the trained first autoregressive neural network and distilling the trained second autoregressive neural network into a feedforward neural network.