Title :
Speech enhancement for vehicle hands-free mobile telephony
Author :
Bendjima, B. ; Rivenq, A. ; Iyad, D. ; Rouvaen, J.M.
Author_Institution :
OAE Dept., Univ. de Valenciennes, France
Abstract :
In this work, we address the problem of estimating a speech signal corrupted by an additive noise when observations from two microphones are available. The extended spectral subtraction method (ESS), based on adaptive Wiener filtering is first introduced. The ESS method is implemented in the two channels and an adaptive system identification (ASI) based on the LMS algorithm is applied only on the reference channel. Finally we obtain an estimation of the speech signal by a simple combination of the two signals obtained from each branch
Keywords :
Wiener filters; adaptive filters; cellular radio; least mean squares methods; parameter estimation; spectral analysis; speech enhancement; LMS algorithm; adaptive Wiener filtering; adaptive system identification; additive noise; extended spectral subtraction method; hands-free mobile telephony; reference channel; speech enhancement; speech signal estimation; vehicle telephony; Adaptive systems; Additive noise; Electronic switching systems; Least squares approximation; Microphones; Speech enhancement; System identification; Telephony; Vehicles; Wiener filter;
Conference_Titel :
Vehicular Technology Conference, 1999. VTC 1999 - Fall. IEEE VTS 50th
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-5435-4
DOI :
10.1109/VETECF.1999.797322
