%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}
}