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Multi-Source TDOA estimation using SNR-based angular spectra

Charles Blandin 1 Emmanuel Vincent 1 Alexey Ozerov 1 
1 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This paper deals with the localization of multiple sources from two-channel mixtures recorded in a reverberant environment. We introduce new angular spectrum-based methods relying on the signal-to-noise ratio (SNR) to estimate the time difference of arrival (TDOA) of each source. We propose and compare five ways of estimating the SNR in each time-frequency point and in each direction, using beamforming techniques and statistical models. Large-scale evaluation considering a high number of situations shows the effectiveness of the proposed approach compared to state-of-the-art angular spectrum-based techniques.
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Submitted on : Tuesday, March 6, 2012 - 11:36:03 AM
Last modification on : Friday, February 4, 2022 - 3:15:26 AM
Long-term archiving on: : Thursday, June 14, 2012 - 5:17:09 PM


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  • HAL Id : inria-00566706, version 3


Charles Blandin, Emmanuel Vincent, Alexey Ozerov. Multi-Source TDOA estimation using SNR-based angular spectra. 2011 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), May 2011, Prague, Czech Republic. pp.2616 - 2619. ⟨inria-00566706v3⟩



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