Fuzzy entropy hidden Markov models for speech recognition

Dat Tran, Michael Wagner

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

2 Citations (Scopus)

Abstract

A new fuzzy technique called fuzzy entropy (FE) clustering is proposed and applied to hidden Markov models (HMMs) for speech recognition. FE-HMMs, both discrete and continuous, are proposed in this paper. Experimental results in speech recognition show good results for FE models compared with fuzzy C-means and conventional models.

Original languageEnglish
Title of host publication6th International Conference on Spoken Language Processing, ICSLP 2000
Place of PublicationUnited States
PublisherInternational Speech Communication Association
Pages1-4
Number of pages4
ISBN (Electronic)9787801501141
Publication statusPublished - 2000
Event6th International Conference on Spoken Language Processing, ICSLP 2000 - Beijing, China
Duration: 16 Oct 200020 Oct 2000

Publication series

Name6th International Conference on Spoken Language Processing, ICSLP 2000

Conference

Conference6th International Conference on Spoken Language Processing, ICSLP 2000
CountryChina
CityBeijing
Period16/10/0020/10/00

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