A Probabilistic Framework for Multiple Speaker Localization

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.


Presented at:
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Year:
2013
Laboratories:




 Record created 2013-12-19, last modified 2018-01-28

External link:
Download fulltext
Related documents
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)