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An Integrated Framework for Multi-Channel Multi-Source Localization and Voice Activity Detection
Type of publication: Conference paper
Citation: Taghizadeh_HSCMA_2011
Publication status: Published
Booktitle: The Third Joint Workshop on Hands-free Speech Communication and Microphone Arrays
Year: 2011
Crossref: Taghizadeh_Idiap-RR-16-2011:
Abstract: Two of the major challenges in microphone array based adaptive beamforming, speech enhancement and distant speech recognition, are robust and accurate source localization and voice activity detection. This paper introduces a spatial gradient steered response power using the phase transform (SRP-PHAT) method which is capable of localization of competing speakers in overlapping conditions. We further investigate the behaviour of the SRP function and characterize theoretically a fixed point in its search space for the diffuse noise field. We call this fixed point the null position in the SRP search space. Building on this evidence, we propose a technique for multi- channel voice activity detection (MVAD) based on detection of a maximum power corresponding to the null position. The gradient SRP-PHAT in tandem with the MVAD form an integrated framework of multi-source localization and voice activity detection. The experiments carried out on real data recordings show that this framework is very effective in practical applications of hands-free communication.
Projects Idiap
Authors Taghizadeh, Mohammad J.
Garner, Philip N.
Bourlard, Hervé
Abutalebi, Hamid Reza
Asaei, Afsaneh
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  • Taghizadeh_HSCMA_2011.pdf