DocumentCode :
703278
Title :
Wavelet transform based coherence function for multi-channel speech enhancement
Author :
Mahmoudi, Djamila ; Drygajlo, Andrzej
Author_Institution :
Signal Process. Lab., Swiss Fed. Inst. of Technol. at Lausanne, Lausanne, Switzerland
fYear :
1998
fDate :
8-11 Sept. 1998
Firstpage :
1
Lastpage :
4
Abstract :
This paper addresses the problem of enhancing a speech signal acquired by a microphone array used for hands-free voice communication applications. A new algorithm based on the coherence function developed in the wavelet domain and applied to the beamforming output signal is presented. The wavelet coherence function based nonlinear post-filtering provides a further noise suppression. Its performances is comparable to that of the wavelet Wiener filter proposed in our earlier work [1].
Keywords :
Wiener filters; array signal processing; coherence; filtering theory; microphone arrays; nonlinear filters; speech enhancement; wavelet transforms; beamforming output signal; hands-free voice communication; microphone array; multichannel speech enhancement; noise suppression; nonlinear post-filtering; speech signal enhancement; wavelet Wiener filter; wavelet coherence function; wavelet transform; Array signal processing; Arrays; Coherence; Microphones; Noise; Speech; Speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location :
Rhodes
Print_ISBN :
978-960-7620-06-4
Type :
conf
Filename :
7089749
Link To Document :
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