Presentation | 2005/12/15 Evaluation of Front-End Based on Speech Feature Extraction Method SPADE Using Standard Noise Robustness Evaluation Corpus Kentaro ISHIZUKA, Tomohiro NAKATANI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes noise-robust front-end processing combining speech feature extraction method 'SPADE' with noise suppression and feature normalization methods. A nonlinear spectral subtraction or an adaptive Wiener filter method was adopted as noise suppression. The cepstral mean or variance normalization method was adopted as feature normalization methods. As results from the evaluation using AURORA-2J, the proposed method achieves word accuracies of 82.58% for clean training condition, and 92.55% for multicondition training condition, at highest. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Speech feature / Noise robust frontend / Subband / Periodicity / Aperiodicity |
Paper # | NLC2005-89,SP2005-122 |
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Committee | NLC |
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Conference Date | 2005/12/15(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) | Evaluation of Front-End Based on Speech Feature Extraction Method SPADE Using Standard Noise Robustness Evaluation Corpus |
Sub Title (in English) | |
Keyword(1) | Speech feature |
Keyword(2) | Noise robust frontend |
Keyword(3) | Subband |
Keyword(4) | Periodicity |
Keyword(5) | Aperiodicity |
1st Author's Name | Kentaro ISHIZUKA |
1st Author's Affiliation | NTT Communication Science Laboratories, NTT Corporation() |
2nd Author's Name | Tomohiro NAKATANI |
2nd Author's Affiliation | NTT Communication Science Laboratories, NTT Corporation |
Date | 2005/12/15 |
Paper # | NLC2005-89,SP2005-122 |
Volume (vol) | vol.105 |
Number (no) | 494 |
Page | pp.pp.- |
#Pages | 2 |
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