NDLI: Dynamic speaker clustering algorithm based on minimal GMM distance tracing

Content Provider	IEEE Xplore Digital Library
Author	Jun He Qian-Hua He Zhi-Feng Wang Yan-Xiong Li Hai-Yu Luo
Copyright Year	2011
Description	Author affiliation: School of Electronic and Information Engineering, South China University of Technology Guangzhou, China (Jun He; Qian-Hua He; Zhi-Feng Wang; Yan-Xiong Li; Hai-Yu Luo)
Abstract	In the field of speaker clustering, most of the clustering algorithms rely heavily on the pre-given thresholds, which is hard work to get the optimal values. This paper proposed a speaker clustering algorithm based on tracing the minimal Bhattacharyya distance between two Gaussian Mixture Models (GMMs), without any pre-given thresholds. In the procedure of clustering, if utterance set A and B has the minimal distance, utterance B is regarded as suspicious set whose utterance may come from the speaker of A. And then, two stage-verification is used. First, a comparative likelihood is used to verify whether the suspicious set B is generated from the speaker or not. Second, a comparative likelihood for each utterance in set B is used to judge whether it is produced by the speaker of set A or not. If the utterance is from the speaker of set A, we move the utterance of set B to set A. And then the models of utterance set A and B are updated. Repeat the above two stages until each speech set is not changed. Experiments, evaluated on Chinese 863 speech database, give 68.97% average cluster purity (ACP), and classification error ratio (CER) is 39%. On the other hand, CER of the K-means and the Iterative Self-Organizing Data Analysis (ISODATA) with the optimal thresholds give 35% and 38% respectively.
Starting Page	51
Ending Page	56
File Size	168246
Page Count	6
File Format	PDF
ISBN	9781612849102
e-ISBN	9781612849119
DOI	10.1109/CYBER.2011.6011763
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Heuristic algorithms Dynamic likelihood Clustering algorithms Speech Minimal distance tracing Mathematical model Arrays Equations Gaussian mixture model Speaker clustering
Content Type	Text
Resource Type	Article

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