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

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.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

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. ⟨inria-00566706v1⟩