A New Noise Reduction Method Using Estimated Noise Spectrum(Special Section of Selected Papers from the 14th Workshop on Circuits and Systems in Karuizawa)
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概要
- 論文の詳細を見る
A technique that uses a linear prediction error filter (LPEF) and an adaptive digital filter (ADF) to achieve noise reduction in a speech degraded by additive background noise is proposed. It is known that the coefficients of the LPEF converge such that the prediction error signal becomes white. Since a voiced speech can be represented as the stationary periodic signal over a short interval of time, most of voiced speech cannot be included in the prediction error signal of the LPEF. On the other hand, when the input signal of the LPEF is a background noise, the prediction error signal becomes white. Assuming that the background noise is represented as generate by exciting a linear system with a white noise, then we can reconstruct the background noise from the prediction error signal by estimating the transfer function of noise generation system. This estimation is performed by the ADF which is used as system identification. Noise reduction is achieved by subtracting the noise reconstructed by the ADF from the speech degraded by additive background noise.
- 社団法人電子情報通信学会の論文
- 2002-04-01
著者
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FUJII Kensaku
Graduate School of Engineering, University of Hyogo
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FUJII Kensaku
Faculty of Engineering, University of Hyogo
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Fujii K
Faculty Of Engineering University Of Hyogo
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FUKUI Yutaka
Department of Food Production Science, Obihiro University of Agriculture and Veterinary Medicine
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KAWAMURA Arata
Graduate School of Engineering Science, Osaka University
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Itoh Y
Faculty Of Engineering Tottori University
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Itoh Yoshio
Faculty Of Engineering Tottori University
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Fukui Y
Faculty Of Engineering Tottori University
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Fujii Kensaku
Faculty Of Engineering Himeji Institute Of Technology
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Kawamura Arata
The Graduate School Of Engineering Science Osaka University
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Fukui Y
Graduate School Of Engineering Tottori University
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Itoh Yoshio
Department Of Electrical And Electronics Engineering Faculty Of Engineering Tottori University
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KAWAMURA Arata
Department of Electrical and Electronic Engineering, Faculty of Engineering, Tottori University
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ITO Yoshio
Department of Electrical and Electronic Engineering, Faculty of Engineering, Tottori University
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Itoh Y
Tottori Univ. Tottori‐shi Jpn
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Kawamura Arata
Department Of Electrical And Electronic Engineering Faculty Of Engineering Tottori University
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Fujii K
The Graduate School Of Engineering University Of Hyogo
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Fukui Yutaka
Department Of Food Production Science Obihiro University Of Agriculture And Veterinary Medicine
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Fukui Yutaka
Department Of Animal Science Obihiro University Of Agriculture And Veterinary Medicine
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Ito Yoshio
Department Of Biochemistry Osaka Dental University
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Kawamura Arata
Department Of Systems Innovation Graduate School Of Engineering Science Osaka University
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Ito Yoshio
Department of Appleed Chemiaity and Bialownology,Facutory of Enginiaring,niigata Institute of Technology
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