Speech Enhancement Algorithm Based on Improved Spectral Subtraction

被引：0
|
作者：
Gao, Liuyang [1 ]
Guo, Yunfei [1 ]
Li, Shaomei [1 ]
Chen, Fucai [1 ]
机构：
[1] Natl Digital Switching Syst Engn & Technol R&D Ct, Zhengzhou 450002, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 3 | 2009年
关键词：
speech enhancement; spectral subtraction; AWGN; Rayleigh distribution; speech activity detection;
D O I：
10.1109/ICICISYS.2009.5358217
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To improve the enhancement effect of noisy speech signals, this paper presents and analyses a new speech enhancement algorithm based on improved spectral subtraction In contrast to the standard spectral subtraction algorithm, the new algorithm accurately estimates the noise according to that the amplitude spectral of narrowband white Gaussian noise obeys Rayleigh distribution, based on that all noise can be changed into Additive White Gaussian Noise (AWGN) This algorithm also adopts a new speech activity detection technology based on frequency band variance to detect speech activity The emulational analyse indicates that the algorithm in this paper is better suit for noise elimination than standard spectral subtraction
引用
收藏
页码：140 / 143
页数：4
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