Invention Grant
- Patent Title: Self-training WaveNet for text-to-speech
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Application No.: US16925230Application Date: 2020-07-09
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Publication No.: US11295725B2Publication Date: 2022-04-05
- Inventor: Manish Sharma , Tom Marius Kenter , Robert Clark
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Honigman LLP
- Agent Brett A. Krueger
- Main IPC: G10L13/047
- 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.
Public/Granted literature
- US20220013105A1 Self-Training WaveNet for Text-to-Speech Public/Granted day:2022-01-13
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