Microphone array beamforming approach to blind speech separation

Himawan, Ivan, Mccowan, Iain, & Lincoln, Mike (2008) Microphone array beamforming approach to blind speech separation. In Popescu-Belis, Andrei, Renals, Steve, & Bourlard, Hervé (Eds.) Machine Learning for Multimodal Interaction. Springer Berlin, pp. 295-308.

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In this paper, we present a microphone array beamforming approach to blind speech separation. Unlike previous beamforming approaches, our system does not require a-priori knowledge of the microphone placement and speaker location, making the system directly comparable other blind source separation methods which require no prior knowledge of recording conditions. Microphone location is automatically estimated using an assumed noise field model, and speaker locations are estimated using cross correlation based methods. The system is evaluated on the data provided for the PASCAL Speech Separation Challenge 2 (SSC2), achieving a word error rate of 58% on the evaluation set.

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7 citations in Scopus
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4 citations in Web of Science®

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ID Code: 38271
Item Type: Book Chapter
Additional Information: 4th International Workshop, MLMI 2007, Brno, Czech Republic, June 28-30, 2007, Revised Selected Papers
Keywords: microphone array, blind speech separation
DOI: 10.1007/978-3-540-78155-4_26
Subjects: Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > COMMUNICATIONS TECHNOLOGIES (100500)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Deposited On: 02 Nov 2010 02:26
Last Modified: 14 Oct 2015 16:11

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