Presentation | 2001/12/13 Noise Robust Speech Recognition by Integration of MLLR Adaptation and Feature Extraction for Noise Reduced Speech Masakiyo Fujimoto, Yasuo Ariki, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we investigate a noise robust acoustic feature in our proposed noise robust speech recognition method using Kalman filtering for speech signal estimation and iterative unsupervised MLLR adaptation. For the noise robust acoustic feature, we employed root cepstral coefficients and compared the results with conventionally used MFCCs at speech recognition accuracy. Furthermore, we investigate the number of phoneme clusters in MLLR adaptation. In order to evaluate the proposed method, we carried out large vocabulary continuous speech recognition experiments under 3 types of music. As a result, the proposed method showed the significant improvement in word accuracy. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | noise robust speech recognition / non-stationary noise / Kalman filter / unsupervised MLLR adaptation / root cepstral coefficient |
Paper # | NLC2001-58,SP2001-93 |
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Committee | NLC |
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Conference Date | 2001/12/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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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 by Integration of MLLR Adaptation and Feature Extraction for Noise Reduced Speech |
Sub Title (in English) | |
Keyword(1) | noise robust speech recognition |
Keyword(2) | non-stationary noise |
Keyword(3) | Kalman filter |
Keyword(4) | unsupervised MLLR adaptation |
Keyword(5) | root cepstral coefficient |
1st Author's Name | Masakiyo Fujimoto |
1st Author's Affiliation | Faculty of Science and Technology, Ryukoku University() |
2nd Author's Name | Yasuo Ariki |
2nd Author's Affiliation | Faculty of Science and Technology, Ryukoku University |
Date | 2001/12/13 |
Paper # | NLC2001-58,SP2001-93 |
Volume (vol) | vol.101 |
Number (no) | 520 |
Page | pp.pp.- |
#Pages | 6 |
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