Fuzzy approach to statistical models in speech and speaker recognition

Dat Tran, Michael Wagner, Tongtao Zheng

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

4 Citations (Scopus)

Abstract

A unified fuzzy approach to statistical models for speech and speaker recognition is presented in this paper. Since the Expectation-Maximisation (EM) algorithm is a powerful learning method for maximising the likelihood of the observed data in the presence of hidden variables, the fuzzy EM algorithm based on the fuzzy c-means algorithm is thereby established. From this fuzzy EM algorithm, the fuzzy algorithms for hidden Markov models, Gaussian mixture models, and vector quantisation are developed. The experimental results on TI46 and ANDOSL speech data corpora for speech and speaker recognition show that the fuzzy approach is capable of achieving higher recognition accuracy.

Original languageEnglish
Pages1275-1280
Number of pages6
Publication statusPublished - 1999
EventProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99 - Seoul, South Korea
Duration: 22 Aug 199925 Aug 1999

Conference

ConferenceProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99
CitySeoul, South Korea
Period22/08/9925/08/99

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