Development of real-time embedded system with speech recognition for smart house
The hidden Markov model is used for the acoustic modeling of the speech recognition system. The Continuous Density HMM (CDHMM) which models acoustic observation directly using estimated continuous probability density function (pdf) without VQ, has shown to have higher recognition accuracy than DHMM....
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Main Authors: | , , |
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Format: | Monograph |
Language: | English |
Published: |
Faculty of Electric Engieering
2007
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/6700/1/74257.pdf http://eprints.utm.my/id/eprint/6700/ http://www.penerbit.utm.my |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |