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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Noise Robust Speech Recognition / Speaker Adaptation / Spectral Subtraction / HMM Sufficient Statistics |
Paper # | SP2002-124 |
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Committee | SP |
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Conference Date | 2002/12/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Speech (SP) |
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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 # | SP2002-124 |
Volume (vol) | vol.102 |
Number (no) | 529 |
Page | pp.pp.- |
#Pages | 6 |
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