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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Format: | Thesis |
Language: | English |
Published: |
2007
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Online Access: | http://eprints.utm.my/id/eprint/6426/4/TingCheeMingMFKE2007.pdf |
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