Malay continuous speech recognition using continuous density hidden Markov model

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Malay continuous speech recognition using continuous density hidden Markov model

This thesis describes the investigation of the use of Continuous Density Hidden Markov Model (CDHMM) for Malay Automatic Speech Recognition (ASR). The goal of this thesis is to solve the constraints of current Malay ASR that are: speaker-dependent, small vocabulary and isolated words, and provides a...

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Bibliographic Details
Main Author:	Ting, Chee Ming
Format:	Thesis
Language:	English
Published:	2007
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/6426/ http://eprints.utm.my/6426/4/TingCheeMingMFKE2007.pdf

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