Robust clustering approach to fuzzy Gaussian mixture models for speaker identification

Dat Tran, Michael Wagner

Research output: Contribution to conference (non-published works)Paper

7 Citations (Scopus)

Abstract

The Gaussian mixture model (GMM) is a currently used method for speaker recognition. The fuzzy GMM (FGMM) proposed in our previous work is a fuzzy clustering-based modification of the GMM. Although both the FGMM and the GMM are capable of achieving high identification accuracy, they have a common disadvantage in the problem of sensitivity to outliers. This paper presents an improvement for the FGMM to handle this problem. Experimental results on 16 speakers using the TI46 database are also reported.

Original languageEnglish
Pages337-340
Number of pages4
Publication statusPublished - 1999
EventProceedings of the 1999 3rd International Conference on Knowledge-Based Intelligent Information Engineering Systems (KES '99) - Adelaide, Aust
Duration: 31 Aug 19991 Sep 1999

Conference

ConferenceProceedings of the 1999 3rd International Conference on Knowledge-Based Intelligent Information Engineering Systems (KES '99)
CityAdelaide, Aust
Period31/08/991/09/99

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