Robust speech audio generation for video games

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United States of America

PATENT NO 12233338
SERIAL NO

17527533

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Abstract

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This specification describes a computer-implemented method of training a machine-learned speech audio generation system for use in video games. The training comprises: receiving one or more training examples. Each training example comprises: (i) ground-truth acoustic features for speech audio, (ii) speech content data representing speech content of the speech audio, and (iii) a ground-truth speaker identifier for a speaker of the speech audio. Parameters of the machine-learned speech audio generation system are updated to: (i) minimize a measure of difference between the predicted acoustic features of a training example and the corresponding ground-truth acoustic features of the training example, (ii) maximize a measure of difference between the first speaker classification for the training example and the corresponding ground-truth speaker identifier of the training example, and (iii) minimize a measure of difference between the second speaker classification for the training example and the corresponding ground-truth speaker identifier of the training example.

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Patent Owner(s)

  • ELECTRONIC ARTS INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Gupta, Kilol Redwood City, US 9 14
Gururani, Siddharth Santa Clara, US 6 8
Raji, Shahab Highland Park, US 1 0
Shakeri, Zahra Newark, US 8 14
Zhong, Ping Mountain View, US 12 56

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