Presentation 2002/12/12
Noise Robust Speech Recognition Applied to Unsupervised Speaker Adaptation
Shingo YAMADE, Akinobu LEE, Hiroshi SARUWATARI, Kiyohiro SHIKANO,
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Abstract(in English) Noise and speaker adaptation techniques are essential to realize robust speech recognition in real noisy environments. We proposed that a noise robust speech recognition is implemented by superimposing a small quantity of noise data on spectral subtracted input speech. We also apply this noise robust speech recognition to the unsupervised speaker adaptation algorithm based on HMM sufficient statistics in different noise environments. According to spectral subtraction and nois superimposition, our proposed algorithm can make robust against the change of noises and SNR, and adapt quickly without calculating HMM sufficient statistics from noise matched acoustic models. We evaluate successfully our proposed algorithm with 20 k dictation task using four kinds of noises. The recognition experiments show that our proposed method increases the robustness against different noises significantly. We also compared our proposed method with unsupervised MLLR adaptation.
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Keyword(in English) Noise Robust Speech Recognition / Speaker Adaptation / Spectral Subtraction / HMM Sufficient Statistics
Paper # NLC2002-47
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Committee NLC
Conference Date 2002/12/12(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Noise Robust Speech Recognition Applied to Unsupervised Speaker Adaptation
Sub Title (in English)
Keyword(1) Noise Robust Speech Recognition
Keyword(2) Speaker Adaptation
Keyword(3) Spectral Subtraction
Keyword(4) HMM Sufficient Statistics
1st Author's Name Shingo YAMADE
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Akinobu LEE
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Hiroshi SARUWATARI
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
4th Author's Name Kiyohiro SHIKANO
4th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2002/12/12
Paper # NLC2002-47
Volume (vol) vol.102
Number (no) 527
Page pp.pp.-
#Pages 6
Date of Issue