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Paper Detail

Paper:	SPTM-P12.4
Session:	Adaptive Systems and Filtering I
Time:	Friday, May 19, 14:00 - 16:00
Presentation:	Poster
Topic:	Signal Processing Theory and Methods: Adaptive Systems and Filtering
Title:	NOISE CANCELLATION USING TWO CLOSELY SPACED MICROPHONES: EXPERIMENTAL STUDY WITH A SPECIFIC MODEL AND TWO ADAPTIVE ALGORITHMS
Authors:	Mohamed Djendi, University of Rennes - IRISA / ENSSAT, France; André Gilloire, France Télécom R&D Division, France; Pascal Scalart, University of Rennes - IRISA / ENSSAT, France
Abstract:	We consider the speech enhancement problem in a moving car through a blind source separation scheme involving two closely spaced microphones. We propose the use of a double fast Newton transversal filter algorithm (DFNTF) to estimate and suppress coherent noise components from speech, and a model of signal mixtures able to represent correctly the effect of microphones spacing. We also consider the realistic case where the noises at the sensor inputs contain non-coherent components. The simulation results show that the DFNTF algorithm, when controlled by a Voice Activity Detector (VAD), is able to fully cancel the correlated noise components from speech.