Title :
Use of coherence in wavelet and multiwavelet domain for microphone array speech enhancement
Author :
Slimene, I. ; Jebara, S.B. ; Benazza-Benyahia, A.
Author_Institution :
Dept. de Mathematiques Appliquees, Signal et Commun., Ecole Superieure des Commun. de Tunis, Ariana, Tunisia
Abstract :
In this paper, we are interested in multichannel speech denoising in the context of mobile communications. The conventional method exploits the "similarity" between the observations expressed by the coherence function. In this work, we aim at alleviating the drawbacks of this approach. More precisely, a wavelet or a multiwavelet transform is used to generate a multiresolution representation of the observations and the coherence between the resulting coefficients is computed. Experiments carried out on artificially and naturally noisy signals indicate that significant gains are achieved by the proposed method relatively to the classical coherence denoising technique.
Keywords :
array signal processing; microphones; mobile communication; signal denoising; speech enhancement; voice communication; wavelet transforms; coherence function; microphone array speech enhancement; mobile communications; multichannel speech denoising; multiwavelet transform; wavelet transform; Cepstral analysis; Coherence; Decorrelation; Microphone arrays; Mobile communication; Noise reduction; Signal resolution; Speech enhancement; Wavelet domain; Wavelet transforms;
Conference_Titel :
Control, Communications and Signal Processing, 2004. First International Symposium on
Print_ISBN :
0-7803-8379-6
DOI :
10.1109/ISCCSP.2004.1296477