A subspace approach for enhancing speech corrupted by colored noise

被引：50
|
作者：
Hu, Y [1 ]
Loizou, PC [1 ]
机构：
[1] Univ Texas, Dept Elect Engn, Richardson, TX 75083 USA
来源：
IEEE SIGNAL PROCESSING LETTERS | 2002年 / 9卷 / 07期
基金：
美国国家卫生研究院;
关键词：
colored noise; Karhunen-Loeve Transform (KLT); speech enhancement; subspace; subspace-based method;
D O I：
10.1109/LSP.2002.801721
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：
A new subspace approach is proposed for enhancement of speech corrupted by colored noise. The proposed approach is based on the simultaneous diagonalization of the clean speech and noise covariance matrices, which leads to an optimal linear estimator that minimizes speech distortion subject to the noise distortion being below a set threshold. The proposed approach is shown to be a generalization of the approach proposed by Ephraim and Van Trees for white noise. Objective and subjective measures demonstrated significant improvements over other subspace-based methods when tested with sentences corrupted with speech-shaped noise and multitalker babble.
引用
收藏
页码：204 / 206
页数：3
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