Presentation 2010-12-20
Noise suppression method based on bias-residual component decomposition and optimization
Masakiyo FUJIMOTO, Shinji WATANABE, Tomohiro NAKATANI,
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Abstract(in English) In this paper, we propose a non-stationary noise estimation method based on bias-residual component decomposition, and show that the proposed method improved speech recognition accuracy compared with the noise estimation methods without component decomposition. The proposed decomposition method clarifies the role of each component, thus enabling us to apply a suitable parameter estimation technique to each component. In this paper, the bias component is estimated by the EM algorithm with the entire observed signal sequence. On the other hand, the residual component is sequentially estimated by multiplying the extended Kalman filter with the auto-regressive process. In addition, the proposed noise estimation. As further improvement, we also evaluate the speech recognition by using a minimum-time frame word error. It minimizes word error rate by combining various hypotheses given by multiple parameter settings of the proposed noise estimation.
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Keyword(in English) speech recognition / noise suppression / non-stationary noise / component decomposition
Paper # NLC2010-18,SP2010-91
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Committee NLC
Conference Date 2010/12/13(1days)
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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 suppression method based on bias-residual component decomposition and optimization
Sub Title (in English)
Keyword(1) speech recognition
Keyword(2) noise suppression
Keyword(3) non-stationary noise
Keyword(4) component decomposition
1st Author's Name Masakiyo FUJIMOTO
1st Author's Affiliation NTT Communication Science Laboratories, NTT Corporation()
2nd Author's Name Shinji WATANABE
2nd Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
3rd Author's Name Tomohiro NAKATANI
3rd Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
Date 2010-12-20
Paper # NLC2010-18,SP2010-91
Volume (vol) vol.110
Number (no) 356
Page pp.pp.-
#Pages 6
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