A fuzzy clustering based modification of Gaussian mixture models (GMMs) for speaker recognition is proposed. In this modification, fuzzy mixture weights are introduced by redefining the distances used in the fuzzy c-means (FCM) functionals. Their reestimation formulas are proved by minimising the FCM functionals. The experimental results show that the fuzzy GMMs can be used in speaker recognition and it is more effective than the GMMs in tests on the TI46 database.
@inproceedings{tran98b_icslp, title = {Fuzzy Gaussian mixture models for speaker recognition}, author = {Dat Tran and Tu Van Le and Michael Wagner}, year = {1998}, booktitle = {5th International Conference on Spoken Language Processing (ICSLP 1998)}, pages = {paper 0798}, doi = {10.21437/ICSLP.1998-408}, issn = {2958-1796},}Cite as:Tran, D., Le, T.V., Wagner, M. (1998) Fuzzy Gaussian mixture models for speaker recognition. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0798, doi: 10.21437/ICSLP.1998-408