公开(公告)号：US11295725B2

公开(公告)日：2022-04-05

申请号：US16925230

申请日：2020-07-09

Applicant: Google LLC

Inventor： Manish Sharma ,  Tom Marius Kenter ,  Robert Clark

IPC: G10L13/047 ,  G10L25/30

Abstract: 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.

公开(公告)号：US20220013105A1

公开(公告)日：2022-01-13

申请号：US16925230

申请日：2020-07-09

Applicant: Google LLC

Inventor： Manish Sharma ,  Tom Marius Kenter ,  Robert Clark

IPC: G10L13/047 ,  G10L25/30

Abstract: 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.