Speaker adaptation of hybrid NN/HMM model for speech recognition based on singular value decomposition
Recently several speaker adaptation methods have been proposed for deep neural network (DNN) in many large vocabulary continuous speech recognition (LVCSR) tasks. However, only a few methods rely on tuning the weight matrices in trained DNNs to optimize system performance since it is very prone to o...
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Published in | The 9th International Symposium on Chinese Spoken Language Processing pp. 1 - 5 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.09.2014
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Subjects | |
Online Access | Get full text |
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