An autopoietic approach to the development of speech recognition (pendekatan autopoietic dalam pembangunan pengecaman suara)

The focus of research here is on the implementation of speech recognition through an autopoietic approach. The work done here has culminated in the introduction of a neural network architecture named Homunculus Network. This network was used in the development of a speech recognition system for Baha...

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Main Author: Ahmad, Abd. Manan
Format: Monograph
Language:en
Published: Fakulti Sains Komputer dan Sistem Maklumat 2006
Subjects:
Online Access:http://eprints.utm.my/4243/1/71703.pdf
http://eprints.utm.my/4243/
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author Ahmad, Abd. Manan
author_facet Ahmad, Abd. Manan
author_sort Ahmad, Abd. Manan
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description The focus of research here is on the implementation of speech recognition through an autopoietic approach. The work done here has culminated in the introduction of a neural network architecture named Homunculus Network. This network was used in the development of a speech recognition system for Bahasa Melayu. The speech recognition system is an isolated-word, phoneme-level speech recognizer that is speaker independent and has a vocabulary of 15 words. The research done has identified some issues worth further work later. These issues are also the basis for the design and the development of the new autopoietic speech recognition system.
format Monograph
id my.utm.eprints-4243
institution Universiti Teknologi Malaysia
language en
publishDate 2006
publisher Fakulti Sains Komputer dan Sistem Maklumat
record_format eprints
spelling my.utm.eprints-42432014-01-05T04:07:51Z http://eprints.utm.my/4243/ An autopoietic approach to the development of speech recognition (pendekatan autopoietic dalam pembangunan pengecaman suara) Ahmad, Abd. Manan H Social Sciences (General) The focus of research here is on the implementation of speech recognition through an autopoietic approach. The work done here has culminated in the introduction of a neural network architecture named Homunculus Network. This network was used in the development of a speech recognition system for Bahasa Melayu. The speech recognition system is an isolated-word, phoneme-level speech recognizer that is speaker independent and has a vocabulary of 15 words. The research done has identified some issues worth further work later. These issues are also the basis for the design and the development of the new autopoietic speech recognition system. Fakulti Sains Komputer dan Sistem Maklumat 2006-12-03 Monograph NonPeerReviewed application/pdf en http://eprints.utm.my/4243/1/71703.pdf Ahmad, Abd. Manan (2006) An autopoietic approach to the development of speech recognition (pendekatan autopoietic dalam pembangunan pengecaman suara). Project Report. Fakulti Sains Komputer dan Sistem Maklumat, Skudai, Johor. (Unpublished)
spellingShingle H Social Sciences (General)
Ahmad, Abd. Manan
An autopoietic approach to the development of speech recognition (pendekatan autopoietic dalam pembangunan pengecaman suara)
title An autopoietic approach to the development of speech recognition (pendekatan autopoietic dalam pembangunan pengecaman suara)
title_full An autopoietic approach to the development of speech recognition (pendekatan autopoietic dalam pembangunan pengecaman suara)
title_fullStr An autopoietic approach to the development of speech recognition (pendekatan autopoietic dalam pembangunan pengecaman suara)
title_full_unstemmed An autopoietic approach to the development of speech recognition (pendekatan autopoietic dalam pembangunan pengecaman suara)
title_short An autopoietic approach to the development of speech recognition (pendekatan autopoietic dalam pembangunan pengecaman suara)
title_sort autopoietic approach to the development of speech recognition (pendekatan autopoietic dalam pembangunan pengecaman suara)
topic H Social Sciences (General)
url http://eprints.utm.my/4243/1/71703.pdf
http://eprints.utm.my/4243/
url_provider http://eprints.utm.my/