%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Oualil_ICASSP2013_2013,
author = {Oualil, Youssef and Magimai-Doss, Mathew and Faubel, Friedrich and Klakow, Dietrich},
projects = {Idiap, IM2, FP 7},
month = may,
title = {A Probabilistic Framework for Multiple Speaker Localization},
booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
year = {2013},
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.},
pdf = {https://publications.idiap.ch/attachments/papers/2013/Oualil_ICASSP2013_2013.pdf}
}
crossreferenced publications:
@TECHREPORT{Oualil_Idiap-RR-37-2012,
author = {Oualil, Youssef and Magimai-Doss, Mathew and Faubel, Friedrich and Klakow, Dietrich},
editor = {Oualil, Youssef and Magimai-Doss, Mathew},
keywords = {Gaussian mixture, localization, microphone arrays, multiple speakers, Steered response power},
projects = {FP 7},
month = {12},
title = {A Probabilistic Framework for Multiple Speaker Localization},
type = {Idiap-RR},
number = {Idiap-RR-37-2012},
year = {2012},
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.},
pdf = {https://publications.idiap.ch/attachments/reports/2012/Oualil_Idiap-RR-37-2012.pdf}
}