Presentation	1999/8/5 Speech Recognition and Selection of the Structure of the Hidden Markov Model Using the Genetic Algorithm Tomio Takara,
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Abstract(in English)	This paper describes how to apply the genetic algorithm (GA)to the automatic speech recognition using the hidden Markov model (HMM). First we applied the GA to selection of structure of the discrete HMM for speech recognition. As a result of recognition experiment, the recognition score became higher as the generation proceeded. This was true not only for the training set but also for the test set. The recognition score became higher than that of an HMM with the basic left-to-right structure which is popular and achieves high performance. Next the GA was applied to the continuous HMM, then it was shown that the same effective result is obtained.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Genetic algorithm / Hidden Markov model / Automatic speech recognition / Structure / Optimization
Paper #	SP99-60
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Conference Information
Committee	SP
Conference Date	1999/8/5(1days)
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Paper Information
Registration To	Speech (SP)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Speech Recognition and Selection of the Structure of the Hidden Markov Model Using the Genetic Algorithm
Sub Title (in English)
Keyword(1)	Genetic algorithm
Keyword(2)	Hidden Markov model
Keyword(3)	Automatic speech recognition
Keyword(4)	Structure
Keyword(5)	Optimization
1st Author's Name	Tomio Takara
1st Author's Affiliation	Department of Information Engineering,University of the Ryukyus()
Date	1999/8/5
Paper #	SP99-60
Volume (vol)	vol.99
Number (no)	255
Page	pp.pp.-
#Pages	8
Date of Issue