Apparatus and method for training a neural network acoustic model, and speech recognition apparatus and method

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United States of America Patent

PATENT NO 10109272
APP PUB NO 20170263241A1
SERIAL NO

15262552

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Abstract

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According to one embodiment, an apparatus for training a neural network acoustic model includes a calculating unit, a clustering unit, and a sharing unit. The calculating unit calculates, based on training data including a training speech and a labeled phoneme state, scores of phoneme states different from the labeled phoneme state. The clustering unit clusters a phoneme state whose score is larger than a predetermined threshold and the labeled phoneme state. The sharing unit shares probability of the labeled phoneme state by the clustered phoneme states. The training unit trains the neural network acoustic model based on the training speech and the clustered phoneme states.

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Patent Owner(s)

  • KABUSHIKI KAISHA TOSHIBA

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Deng, Yan Beijing, CN 29 97
Ding, Pei Beijing, CN 10 45
Hao, Jie Beijing, CN 38 164
Yong, Kun Beijing, CN 6 18
Zhu, Huifeng Beijing, CN 7 20

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