%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Vijayasenan_ICASSP2009_2009,
         author = {Vijayasenan, Deepu and Valente, Fabio and Bourlard, Herv{\'{e}}},
       projects = {Idiap, AMIDA, IM2},
          title = {MUTUAL INFORMATION BASED CHANNEL SELECTION FOR SPEAKER DIARIZATION OF MEETINGS DATA},
      booktitle = {Proceedings of International Conference on Acoustics, Speech and Signal Processing},
           year = {2009},
       abstract = {In the meeting case scenario, audio is often recorded using Multiple
Distance Microphones (MDM) in a non-intrusive manner. Typically
a beamforming is performed in order to obtain a single enhanced
signal out of the multiple channels. This paper investigates the use
of mutual information for selecting the channel subset that produces
the lowest error in a diarization system. Conventional systems perform
channel selection on the basis of signal properties such as SNR,
cross correlation. In this paper, we propose the use of a mutual information
measure that is directly related to the objective function
of the diarization system. The proposed algorithms are evaluated on
the NIST RT 06 eval dataset. Channel selection improves the speaker
error by 1.1\% absolute (6.5\% relative) w.r.t. the use of all channels.},
            pdf = {https://publications.idiap.ch/attachments/papers/2009/Vijayasenan_ICASSP2009_2009.pdf}
}