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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Huazhong Ning Wei Xu Yihong Gong Huang, T. |
| Copyright Year | 2006 |
| Description | Author affiliation: Beckman Inst., Univ. of Illinois at Urbana-Champaign, Urbana, IL (Huazhong Ning) |
| Abstract | In this paper, we present a new speaker diarization system that improves the accuracy of traditional hierarchical clustering-based methods with little increase in computational cost. Our contributions are mainly two fold. First, we include a preprocessing called "local clustering" before the hierarchical clustering algorithm to merge very similar adjacent speech segments. This local clustering aims to reduce the number of segments to be clustered by the hierarchical clustering, so as to dramatically increase the processing speed. Second, we perform a postprocessing called "cross EM refinement" to purify the clusters generated by the hierarchical clustering. This algorithm is based on the idea of cross validation and EM algorithm. Our experimental evaluations show that the proposed cross EM refinement approach reduces the speaker diarization error by up to 56%, with an average reduction of 22% compared to the traditional hierarchical clustering method |
| Starting Page | 1901 |
| Ending Page | 1904 |
| File Size | 95667 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424403667 |
| DOI | 10.1109/ICME.2006.262927 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-07-09 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clustering algorithms Loudspeakers Clustering methods Computational efficiency Speech Refining National electric code Laboratories Explosives Internet Speaker Diarization Cross EM Refinement Hierarchical Clustering BIC |
| Content Type | Text |
| Resource Type | Article |
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