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 [BibTeX] [Marc21]
Self-Organizing-Maps With BIC For Speaker Clustering
Type of publication: Idiap-RR
Citation: lapidot-rr02-60
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.
Userfields: ipdinar={2002}, ipdmembership={speech}, language={English},
Projects Idiap
Authors Lapidot, I.
Added by: [UNK]
Total mark: 0
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