A Probabilistic Framework for Multiple Speaker Localization
| Type of publication: | Idiap-RR |
| Citation: | Oualil_Idiap-RR-37-2012 |
| Number: | Idiap-RR-37-2012 |
| Year: | 2012 |
| Month: | 12 |
| Institution: | Idiap |
| Note: | Submitted to ICASSP'13 |
| 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: | Gaussian mixture, localization, microphone arrays, multiple speakers, Steered response power |
| Projects: |
FP 7 |
| Authors: | |
| Editors | |
| Crossref by |
Oualil_ICASSP2013_2013 |
| Added by: | [ADM] |
| Total mark: | 0 |
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