Two-level text-to-speech systems using synthetic training data

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United States of America

PATENT NO 12260851
APP PUB NO 20230018384A1
SERIAL NO

17305809

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Abstract

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A method includes obtaining training data including a plurality of training audio signals and corresponding transcripts. Each training audio signal is spoken by a target speaker in a first accent/dialect. For each training audio signal of the training data, the method includes generating a training synthesized speech representation spoken by the target speaker in a second accent/dialect different than the first accent/dialect and training a text-to-speech (TTS) system based on the corresponding transcript and the training synthesized speech representation. The method also includes receiving an input text utterance to be synthesized into speech in the second accent/dialect. The method also includes obtaining conditioning inputs that include a speaker embedding and an accent/dialect identifier that identifies the second accent/dialect. The method also includes generating an output audio waveform corresponding to a synthesized speech representation of the input text sequence that clones the voice of the target speaker in the second accent/dialect.

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Patent Owner(s)

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GOOGLE LLC1600 AMPHITHEATRE PARKWAY MOUNTAIN VIEW CA 94043

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Casagrande, Norman London, GB 7 11
Chan, Chun-an Mountain View, US 13 87
Chun, Byungha Tokyo, JP 28 444
Clark, Robert Andrew James Hertfordshire, GB 15 149
Finkelstein, Lev Mountain View, US 43 613
Wan, Vincent London, GB 11 32
Zhang, Yu Mountain View, US 1971 9206

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