%Aigaion2 BibTeX export from Idiap Publications
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@TECHREPORT{lapidot-rr02-60,
         author = {Lapidot, I.},
       projects = {Idiap},
          title = {Self-Organizing-Maps With {BIC} For Speaker Clustering},
           type = {Idiap-RR},
         number = {Idiap-RR-60-2002},
           year = {2002},
    institution = {IDIAP},
        address = {Martigny, Switzerland},
       abstract = {A new approach is presented for clustering the speakers from unlabeled and unsegmented conversation, when the number of speakers is unknown. In this approach, each speaker is modeled by a Self- Organizing-Map (SOM). For estimation of the number of clusters the Bayesian Information Criterion (BIC) is applied. This approach was tested on the NIST 1996 HUB-4 evaluation test in terms of speaker and cluster purities. Results indicate that the combined SOM-BIC approach can lead to better clustering results than the baseline system.},
            pdf = {https://publications.idiap.ch/attachments/reports/2002/rr02-60.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2002/rr02-60.ps.gz},
ipdinar={2002},
ipdmembership={speech},
language={English},
}