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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| Format: | Monograph |
| Language: | English |
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Fakulti Sains Komputer dan Sistem Maklumat
2006
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| Online Access: | http://eprints.utm.my/4243/1/71703.pdf |
| _version_ | 1796853699236069376 |
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| author | Ahmad, Abd. Manan |
| author_facet | Ahmad, Abd. Manan |
| author_sort | Ahmad, Abd. Manan |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T18:03:26Z |
| format | Monograph |
| id | utm.eprints-4243 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:03:26Z |
| publishDate | 2006 |
| publisher | Fakulti Sains Komputer dan Sistem Maklumat |
| record_format | dspace |
| spelling | 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 |
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