Robust Speaker Clustering Using Affinity Propagation

Ping LU
Hongbin SUO
Qingwei ZHAO
Yonghong YAN

IEICE TRANSACTIONS on Information and Systems   Vol.E91-D    No.11    pp.2739-2741
Publication Date: 2008/11/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e91-d.11.2739
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech and Hearing
speaker clustering,  agglomerative hierarchical clustering,  affinity propagation,  generalized likelihood ratio,  

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In this letter, a recently proposed clustering algorithm named affinity propagation is introduced for the task of speaker clustering. This novel algorithm exhibits fast execution speed and finds clusters with low error. However, experiments show that the speaker purity of affinity propagation is not satisfying. Thus, we propose a hybrid approach that combines affinity propagation with agglomerative hierarchical clustering to improve the clustering performance. Experiments show that compared with traditional agglomerative hierarchical clustering, the hybrid method achieves better performance on the test corpora.

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