Presentation 2010-09-03
A Study of Reverberation Robust Speech Recognition Using Multi-Condition HMM
Keisuke KATAYAMA, Yoshikazu MIYANAGA,
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Abstract(in English) Using a speech recognition system in reverberant and noisy environment, the recognition rate is seriously declined. In this paper, we study the reverberation and noise robust speech recognition system by multi-condition training. This method uses a clean speech data with reverberant speech data generated from clean speech data and artificial reverberant impulse response. First, we evaluate the recognition rate of the speech recognition experiment in each reverberant environments using the multi-condition HMM made of a clean speech data and one reverberant speech data. Based on this results, we show that the multi-condition training using plural reverberant speech data is effective in various reverberant environments. An observed signal is distorted because of noise influences in real environment. Therefore, we evaluate the multi-condition training that considers reverberant and noisy environment.
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Keyword(in English) speech recognition / multi-condition training / reverberation robust / noisy environment
Paper # SIS2010-30
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Committee SIS
Conference Date 2010/8/26(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Study of Reverberation Robust Speech Recognition Using Multi-Condition HMM
Sub Title (in English)
Keyword(1) speech recognition
Keyword(2) multi-condition training
Keyword(3) reverberation robust
Keyword(4) noisy environment
1st Author's Name Keisuke KATAYAMA
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Yoshikazu MIYANAGA
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2010-09-03
Paper # SIS2010-30
Volume (vol) vol.110
Number (no) 189
Page pp.pp.-
#Pages 6
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