Fuzzy Hidden Markov Models for Speech Recognition on based FEM Algorithm

被引：0
|
作者：
Taheri, Asghar [1 ]
Tarihi, Mohammad Reza [1 ]
Baghgar, Hassan [1 ]
Abad, Bostan [1 ]
Bababeyk, Hassan
机构：
[1] Abhar Iran Abhar Azad Univ, Azad Univ, Tech Sch, Tehran, Iran
来源：
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 4 | 2005年 / 4卷
关键词：
speech recognition; Fuzzy Hidden Markov; HMMS; Fuzzy Continuse HMMS;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper proposes a Fuzzy approach to the hidden Markov model (HMM) method called the fuzzy HMM for speech and speaker recognition as an application of fuzzy expectation maximizing algorithm in HMM. This fuzzy approach can apply to EM-style algorithms such as the Baum- Welch algorithm for hidden Markov models, the EM algorithm for Gaussian mixture models in speech and speaker recognition. Equation and how estimation of discrete and continuous HMM parameters on based this two algorithm is explained and performance of two method speech recognition for one hundred is surveyed. this paper show better results for the fuzzy HMM, compared with the conventional HMM.
引用
收藏
页码：59 / 61
页数：3
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