A modified A priori SNR for speech enhancement using spectral subtraction rules

被引：72

作者：

Hasan, MK ^{[1
]}

Salahuddin, S ^{[1
]}

Khan, MR ^{[1
]}

机构：

[1] Bangladesh Univ Engn & Technol, Dept Elect & Elect Engn, Dhaka 1000, Bangladesh

来源：

IEEE SIGNAL PROCESSING LETTERS | 2004年 / 11卷 / 04期

关键词：

A priori signal-to-noise ratio (SNR); power subtraction; self-adaptive averaging factor; speech enhancement;

D O I：

10.1109/LSP.2004.824017

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This letter addresses the problem of single-channel speech enhancement using spectral subtraction method. The proposed approach is directed toward finding a self-adaptive averaging factor to estimate the a priori SNR. Performance of the modified averaging factor is evaluated using conventional spectral-subtraction algorithms in which the averaging factor is otherwise kept as a constant. Improved results are obtained in terms of speech quality measures for various types of noise and at different SNR levels when the time-frequency varying averaging factor, proposed in this letter, is adapted in the conventional subtraction rules.

引用

页码：450 / 453

页数：4

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