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