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Noise cancellation using two closely spaced microphones: experimental study with a specific model and two adaptive algorithms

Mohamed Djendi 1 André Gilloire 2 Pascal Scalart 3
1 LATSI - Laboratoire de Traitement de Signal et Imagerie [Blida]
2 TECH/SSTP - France Télécom R&D
3 R2D2 - Reconfigurable and Retargetable Digital Devices
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes, ENSSAT - École Nationale Supérieure des Sciences Appliquées et de Technologie
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.
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Conference papers
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https://hal.inria.fr/inria-00451442
Contributor : Pascal Scalart <>
Submitted on : Friday, January 29, 2010 - 10:07:54 AM
Last modification on : Tuesday, June 15, 2021 - 4:22:05 PM

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  • HAL Id : inria-00451442, version 1

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CNRS | INRIA | IRISA | UNIV-RENNES1 | UR1-UFR-ISTIC | UNIV-RENNES | INSA-GROUPE | INSA-RENNES | EC-PARIS

Citation

Mohamed Djendi, André Gilloire, Pascal Scalart. Noise cancellation using two closely spaced microphones: experimental study with a specific model and two adaptive algorithms. IEEE International Conference on Acoustic, Speech and Signal Processing, May 2006, Toulouse, France. ⟨inria-00451442⟩

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