Method of training speech recognition model, electronic device and storage medium

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United States of America

PATENT NO 12260852
APP PUB NO 20230386448A1
SERIAL NO

18078460

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Abstract

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A method of training a speech recognition model is provided. The method includes that: speech data of each of a plurality of training samples is inputted into a teacher model and a to-be-trained speech recognition model separately. Additionally, an embedding outputted by the teacher model and encoded data outputted by the to-be-trained speech recognition model are obtained. Furthermore, quantized codebook data is obtained by performing a multi-codebook quantization on the embedding. A loss is calculated based on the encoded data, the quantized codebook data, and text data in the training sample. Moreover, a trained speech recognition model is obtained by stopping training the to-be-trained speech recognition model when the loss is less than or equal to a preset loss threshold and/or trained times is greater than preset trained times.

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Patent Owner(s)

Patent OwnerAddress
BEIJING XIAOMI MOBILE SOFTWARE CO LTDBEIJING 100085

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Daniel, Povey Beijing, CN 3 2
Guo, Liyong Beijing, CN 4 2
Kang, Wei Beijing, CN 71 130
Kong, Yuxiang Beijing, CN 1 1
Kuang, Fangjun Beijing, CN 3 2
Lin, Long Beijing, CN 42 475
Luo, Mingshuang Beijing, CN 3 2
Wang, Quandong Beijing, CN 1 1
Yao, Zengwei Beijing, CN 3 2

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