Noise estimation using high frequency regions for spectral subtraction

被引：0

作者：

Yamauchi, J ^{[1
]}

Shimamura, T ^{[1
]}

机构：

[1] Saitama Univ, Dept Informat & Comp Sci, Urawa, Saitama 3388570, Japan

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2002年 / E85A卷 / 03期

关键词：

spectral subtraction; noise estimation; high-frequency regions; non-stationary noise condition;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This 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 arc, 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.

引用

页码：723 / 727

页数：5