Noise Estimation Using High Frequency Regions for Spectral Subtraction

スポンサーリンク

概要

• 論文の詳細を見る

• copyright(c)2002 IEICE許諾番号：07RB0174　http://www.ieice.org/jpn/trans_online/index.htmlThis paper presents an improved spectral subtraction method for speech enhancement. A new noise estimation method is derived in which the noise is assumed to be white. By using the property that a white noise spectrum is flat, high frequency components of a noisy speech spectrum are averaged and the standard deviation of the noise is estimated. This operation is performed in the analysis segment, thus the spectral subtraction method combined with the new noise estimation method does not need non-speech segments and as a result can adapt to non-stationary noise conditions. The effectiveness of the proposed spectral subtraction method is confirmed by experiments.

• 一般社団法人電子情報通信学会の論文
• 2002-03-01

著者

• Shimamura Tetsuya

  Department Of Information And Computer Sciences Saitama University

• YAMAUCHI Junpei

  Department of Information and Computer Sciences, Saitama University

• Yamauchi Junpei

  Department Of Information And Computer Sciences Saitama University

• 島村 徹也

  Department of Information and Computer Sciences, Saitama University

関連論文

• Spectrum Estimation by Noise-Compensated Data Extrapolation(Digital Signal Processing)
• Coefficients--Delay Simultaneous Adaptation Scheme for Linear Equalization of Nonminimum Phase Channels(Digital Signal Processing)
• Equalizer-Aided Time Delay Tracking Based on L_1-Normed Finite Differences(Digital Signal Processing)
• A New Method of Noise Variance Estimation from Low-Order Yule-Walker Equations (Digital Signal Processing)
• Identification of ARMA Speech Models Using an Effective Representation of Voice Source(Speech and Hearing)
• Formant frequency estimation of high-pitched speech by homomorphic prediction
• Noise Estimation Using High Frequency Regions for Spectral Subtraction

スポンサーリンク