5th International Conference on Spoken Language Processing

Sydney, Australia
November 30 - December 4, 1998

A Proposed Decision Rule For Speaker Recognition Based On Fuzzy C-Means Clustering

Dat Tran, Michael Wagner, Tu Van Le

University of Canberra, Australia

In vector quantisation (VQ) based speaker recognition, the minimum overall average distortion rule is used as a criterion to assign a given sequence of acoustic vectors to a speaker model known as a codebook. An alternative decision rule based on fuzzy c-means clustering is proposed in this paper. A set of membership functions associated with vectors for codebooks are defined as discriminant functions and the maximum overall average membership function rule is stated. The theoretical analysis and the experimental results show that this rule can be used in both speaker identification and speaker verification. It is more effective than the minimum overall average distortion rule.

Full Paper

Bibliographic reference.  Tran, Dat / Wagner, Michael / Le, Tu Van (1998): "A proposed decision rule for speaker recognition based on fuzzy c-means clustering", In ICSLP-1998, paper 0797.