English digits speech recognition system based on hidden Markov Models
The field of Automatic Speech Recognition (ASR) is about 60 years old. There have been many interesting advances and developments since the invention of the first speech recognizer at Bell Labs in the early 1950' s. The development of ASR increased gradually until the invention of Hidden Marko...
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| Format: | Book Chapter |
| Language: | English |
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IIUM Press
2011
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| Online Access: | http://irep.iium.edu.my/21659/ http://irep.iium.edu.my/21659/ http://irep.iium.edu.my/21659/1/Chapter_26.pdf |
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eprints |
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iium-216592012-09-05T08:20:34Z http://irep.iium.edu.my/21659/ English digits speech recognition system based on hidden Markov Models Gunawan, Teddy Surya Abushariah, Ahmad A. M. Khalifa, Othman Omran TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices The field of Automatic Speech Recognition (ASR) is about 60 years old. There have been many interesting advances and developments since the invention of the first speech recognizer at Bell Labs in the early 1950' s. The development of ASR increased gradually until the invention of Hidden Markov Models (HMM) in early 1970's. Researchers' contribution were to make use of ASR technology to what can be seen nowadays of various advancements in fields like multi-modal, multi-linguaVcross-lingual ASR using statistical techniques such as HMM, SVM, neural network, etc [1]. IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/21659/1/Chapter_26.pdf Gunawan, Teddy Surya and Abushariah, Ahmad A. M. and Khalifa, Othman Omran (2011) English digits speech recognition system based on hidden Markov Models. In: Human Behaviour Recognition, Identification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 244-254. ISBN 978-967-418-156-7 http://rms.research.iium.edu.my/bookstore/default.aspx |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
| spellingShingle |
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Gunawan, Teddy Surya Abushariah, Ahmad A. M. Khalifa, Othman Omran English digits speech recognition system based on hidden Markov Models |
| description |
The field of Automatic Speech Recognition (ASR) is about 60 years old. There have been many interesting advances and developments since the invention of the first speech recognizer at Bell Labs in the early 1950' s. The development of ASR increased gradually until the
invention of Hidden Markov Models (HMM) in early 1970's. Researchers' contribution were to make use of ASR technology to what can be seen nowadays of various advancements in fields like multi-modal, multi-linguaVcross-lingual ASR using statistical techniques such as HMM, SVM, neural network, etc [1]. |
| format |
Book Chapter |
| author |
Gunawan, Teddy Surya Abushariah, Ahmad A. M. Khalifa, Othman Omran |
| author_facet |
Gunawan, Teddy Surya Abushariah, Ahmad A. M. Khalifa, Othman Omran |
| author_sort |
Gunawan, Teddy Surya |
| title |
English digits speech recognition system based on hidden Markov Models |
| title_short |
English digits speech recognition system based on hidden Markov Models |
| title_full |
English digits speech recognition system based on hidden Markov Models |
| title_fullStr |
English digits speech recognition system based on hidden Markov Models |
| title_full_unstemmed |
English digits speech recognition system based on hidden Markov Models |
| title_sort |
english digits speech recognition system based on hidden markov models |
| publisher |
IIUM Press |
| publishDate |
2011 |
| url |
http://irep.iium.edu.my/21659/ http://irep.iium.edu.my/21659/ http://irep.iium.edu.my/21659/1/Chapter_26.pdf |
| first_indexed |
2023-09-18T20:32:59Z |
| last_indexed |
2023-09-18T20:32:59Z |
| _version_ |
1777408860463562752 |