A Noise Reduction Method for Non-stationary Noise Based on Noise Reconstruction System with ALE(Digital Signal Processing)

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概要

• 論文の詳細を見る

• A noise reduction technique to reduce background noise in noisy speech is proposed. We have proposed the noise reduction method which uses a noise reconstruction system. However, since a residual speech signal is included in the input signal of a noise reconstruction filter (NRF) used for reconstructing the background noise, the long time average value of error signal for estimating the background noise is needed not to estimate the speech signal. Therefore, the ability of tracking the non-stationary noise is decreased. In order to solve this problem, we propose the noise reconstruction system with adaptive line enhancer (ALE). Since ALE works to obtain the signal occupied by noise components, the input signal of the NRF includes only a few speech components. Therefore, we can give the high tracking ability to NRF.

• 社団法人電子情報通信学会の論文
• 2005-02-01

著者

• FUJII Kensaku

  Graduate School of Engineering, University of Hyogo

• Fujii K

  Faculty Of Engineering University Of Hyogo

• Itoh Y

  Faculty Of Engineering Tottori University

• Itoh Yoshio

  Faculty Of Engineering Tottori University

• Itoh Yoshio

  Fac. Of Engineering Tottori Univ.

• Fujii Kensaku

  Graduate School Of Engineering University Of Hyogo

• Itoh Yoshio

  Department of Biotechnology, Faculty of Technology, Tokyo University of Agriculture and Technology

• Itoh Yoshio

  Department Of Electrical And Electronics Engineering Faculty Of Engineering Tottori University

• SASAOKA Naoto

  Department of Electrical and Electronics Engineering, Faculty of Engineering, Tottori University

• Itoh Y

  Tottori Univ. Tottori‐shi Jpn

• Fujii K

  The Graduate School Of Engineering University Of Hyogo

• Sasaoka Naoto

  Department Of Electrical And Electronics Engineering Faculty Of Engineering Tottori University

• Itoh Yoshio

  Department Of Biotechnology Faculty Of Technology Tokyo University Of Agriculture And Technology

• Itoh Yoshio

  Department of Applied Chemistry, Faculty of Engineering, Tohoku University

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