Fuzzy evolutionary programming for hidden Markov modelling in speaker identification

Tu Van Le; Dat Tran; Michael Wagner

doi:10.1109/CEC.1999.782505

Fuzzy evolutionary programming for hidden Markov modelling in speaker identification

Tu Van Le, Dat Tran, Michael Wagner

Information Systems

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

Abstract

Gibbs distribution is used to represent fuzzy codebooks of individual speakers. The method of fuzzy evolutionary programming is employed to create the fuzzy codebooks and also to train hidden Markov models of speakers. This method increases the chance of attaining global maxima in the Baum-Welch algorithm for hidden Markov model re-estimation. The experiments show the results of speaker identification are very encouraging.

Original language	English
Pages	812-815
Number of pages	4
DOIs	https://doi.org/10.1109/CEC.1999.782505
Publication status	Published - 1999
Event	1999 Congress on Evolutionary Computation, CEC 1999 - Washington, DC, United States Duration: 6 Jul 1999 → 9 Jul 1999

Conference

Conference	1999 Congress on Evolutionary Computation, CEC 1999
Country/Territory	United States
City	Washington, DC
Period	6/07/99 → 9/07/99

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10.1109/CEC.1999.782505

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title = "Fuzzy evolutionary programming for hidden Markov modelling in speaker identification",

abstract = "Gibbs distribution is used to represent fuzzy codebooks of individual speakers. The method of fuzzy evolutionary programming is employed to create the fuzzy codebooks and also to train hidden Markov models of speakers. This method increases the chance of attaining global maxima in the Baum-Welch algorithm for hidden Markov model re-estimation. The experiments show the results of speaker identification are very encouraging.",

author = "Le, {Tu Van} and Dat Tran and Michael Wagner",

year = "1999",

doi = "10.1109/CEC.1999.782505",

language = "English",

pages = "812--815",

note = "1999 Congress on Evolutionary Computation, CEC 1999 ; Conference date: 06-07-1999 Through 09-07-1999",

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AU - Le, Tu Van

AU - Tran, Dat

AU - Wagner, Michael

PY - 1999

Y1 - 1999

N2 - Gibbs distribution is used to represent fuzzy codebooks of individual speakers. The method of fuzzy evolutionary programming is employed to create the fuzzy codebooks and also to train hidden Markov models of speakers. This method increases the chance of attaining global maxima in the Baum-Welch algorithm for hidden Markov model re-estimation. The experiments show the results of speaker identification are very encouraging.

AB - Gibbs distribution is used to represent fuzzy codebooks of individual speakers. The method of fuzzy evolutionary programming is employed to create the fuzzy codebooks and also to train hidden Markov models of speakers. This method increases the chance of attaining global maxima in the Baum-Welch algorithm for hidden Markov model re-estimation. The experiments show the results of speaker identification are very encouraging.

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U2 - 10.1109/CEC.1999.782505

DO - 10.1109/CEC.1999.782505

M3 - Paper

AN - SCOPUS:84901388912

SP - 812

EP - 815

T2 - 1999 Congress on Evolutionary Computation, CEC 1999

Y2 - 6 July 1999 through 9 July 1999

ER -

Fuzzy evolutionary programming for hidden Markov modelling in speaker identification

Abstract

Conference

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