An iterative noise cross-PSD estimation for two-microphone speech enhancement

被引:14
|
作者
Rahmani, Mohsen [1 ]
Akbari, Ahmad [1 ]
Ayad, Beghdad [1 ]
机构
[1] Iran Univ Sci & Technol, Audio & Speech Proc Lab, Dept Comp Engn, Tehran, Iran
关键词
Coherence methods; Wiener filter; Cross-PSD estimator; Dual-microphone noise reduction; MICROPHONE; SUPPRESSION; REDUCTION;
D O I
10.1016/j.apacoust.2008.06.005
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Among various speech enhancement methods, dual-microphone methods are of a great importance for their low cost implementation and for exploiting spatial-filtering benefits of the microphone arrays. Coherence based methods are well-known as efficient two-microphone noise reduction techniques. These techniques do not work well, when received noise signals are correlated. These can be improved when the cross power spectral density (CPSD) of noise is available. In this paper, we propose an iterative approach for estimation of the noise CPSD to be employed in coherence based methods. We compare the proposed iterative noise CPSD estimation with a noise CPSD estimation technique based on voice activity detector (VAD), both of which are employed in a two-microphone speech enhancement, separately. Evaluation results show that the two-microphone speech enhancement scheme utilizing the proposed noise CPSD estimation technique performs superior than the enhancement system using the VAD-based noise CPSD estimation. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:514 / 521
页数:8
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