SELF-SUPERVISED LEARNING FOR AUDIO PROCESSING

Number of patents in Portfolio can not be more than 2000

United States of America

APP PUB NO 20250118291A1
SERIAL NO

18832864

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Abstract

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Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training an audio-processing neural network that includes at least (1) a first encoder network having a first set of encoder network parameters and (2) a decoder network having a set of decoder network parameters. The system obtains a set of un-labeled audio data segments, and generates, from the set of un-labeled audio data segments, a set of encoder training examples. The system performs training of a second encoder neural network that includes at least the first encoder neural network on the set of generated encoder training examples. The system also obtains one or more labeled training examples, and performs training of the audio-processing neural network on the labeled training examples.

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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
CHIU, Chung-Cheng Sunnyvale, US 33 191
QIN, Weikeng Sunnyvale, US 5 2
WU, Yonghui Fremont, US 87 554
YU, Jiahui Bellevue, US 26 261
ZHANG, Yu Mountain View, US 1971 9206

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