A proposed fuzzy pattern verification system

Proposes a fuzzy pattern verification system based on fuzzy if-then rules and fuzzy membership functions in fuzzy clustering. The proposed fuzzy system is applied to speaker verification and is compared with current probabilistic verification systems. Experiments performed on the ANDOSL and YOHO speech corpora show better results for the proposed system.

[1]  James C. Bezdek,et al.  Fuzzy models—What are they, and why? [Editorial] , 1993, IEEE Transactions on Fuzzy Systems.

[2]  Dat Tran,et al.  Fuzzy normalisation methods for speaker verification , 2000, INTERSPEECH.

[3]  Sadaoki Furui,et al.  Concatenated phoneme models for text-variable speaker recognition , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[4]  Biing-Hwang Juang,et al.  The use of cohort normalized scores for speaker verification , 1992, ICSLP.

[5]  Frank Klawonn,et al.  Mathematical Analysis of Fuzzy Classifiers , 1997, IDA.

[6]  Sankar K. Pal,et al.  Fuzzy models for pattern recognition , 1992 .

[7]  James C. Bezdek,et al.  Multiple-prototype classifier design , 1998, IEEE Trans. Syst. Man Cybern. Part C.

[8]  Chin-Hui Lee,et al.  Speaker verification using normalized log-likelihood score , 1996, IEEE Trans. Speech Audio Process..

[9]  Dat Tran,et al.  A proposed likelihood transformation for speaker verification , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[10]  Seiichi Nakagawa,et al.  Text-independent speaker recognition using non-linear frame likelihood transformation , 1998, Speech Commun..

[11]  James M. Keller,et al.  A possibilistic approach to clustering , 1993, IEEE Trans. Fuzzy Syst..

[12]  L. Zadeh.  Fuzzy sets and their application to pattern classification and clustering analysis , 1996 .

[13]  Rajesh N. Davé,et al.  Characterization and detection of noise in clustering , 1991, Pattern Recognit. Lett..

[14]  Michael Wagner,et al.  Hybrid threshold approach in text-independent speaker verification , 1994, ICSLP.

[15]  Seiichi Nakagawa,et al.  Discriminative training of GMM using a modified EM algorithm for speaker recognition , 1998, ICSLP.

[16]  Sankar K. Pal,et al.  Fuzzy sets and decisionmaking approaches in vowel and speaker recognition , 1977 .

[17]  J. C. Dunn,et al.  A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .

[18]  John A. Hartigan,et al.  Clustering Algorithms , 1975 .

[19]  Rajesh N. Davé,et al.  Robust clustering methods: a unified view , 1997, IEEE Trans. Fuzzy Syst..

[20]  J.B. Millar,et al.  The Australian National Database of Spoken Language , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[21]  Sadaoki Furui,et al.  An Overview of Speaker Recognition Technology , 1996 .

[22]  Douglas A. Reynolds,et al.  Speaker identification and verification using Gaussian mixture speaker models , 1995, Speech Commun..

[23]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[24]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[25]  James C. Bezdek,et al.  A Review of Probabilistic, Fuzzy, and Neural Models for Pattern Recognition , 1996, J. Intell. Fuzzy Syst..

[26]  Lawrence G. Bahler,et al.  Speaker verification using randomized phrase prompting , 1991, Digit. Signal Process..

[27]  James C. Bezdek,et al.  Fuzzy Pattern Recognition , 1999 .