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.


Présenté à:
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Année
2013
Laboratoires:




 Notice créée le 2013-12-19, modifiée le 2019-01-25

Lien externe:
Télécharger le document
Related documents
Évaluer ce document:

Rate this document:
1
2
3
 
(Pas encore évalué)