A Probabilistic Framework for Multiple Speaker Localization
Type of publication: | Conference paper |
Citation: | Oualil_ICASSP2013_2013 |
Publication status: | Published |
Booktitle: | Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) |
Year: | 2013 |
Month: | May |
Crossref: | Oualil_Idiap-RR-37-2012: |
Abstract: | This paper presents a novel probabilistic framework for localizing multiple speakers with a microphone array. In this framework, the generalized cross correlation function (GCC) of each microphone pair is interpreted as a probability distribution of the time difference of arrival (TDOA) and subsequently approximated as a Gaussian mixture. The distribution parameters are estimated with a weighted expectation maximization algorithm. Then, the joint distribution of the TDOA Gaussian mixtures is mapped to a multimodal distribution in the location space, where each mode represents a potential source location. The approach taken here performs the localization by 1) reducing the search space to some regions that are likely to contain a source and then 2) extracting the actual speaker locations with a numerical optimization algorithm. The effectiveness of the proposed approach is shown using the AV16.3 corpus. |
Keywords: | |
Projects |
Idiap IM2 FP 7 |
Authors | |
Added by: | [UNK] |
Total mark: | 0 |
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