Developing a model of speech recognition process from an autopoietic approach
Speech recognition is a time-tested research into the possibilities of reproducing human like qualities in machines such as computers. In the 40 years of exploration in this field, there are many milestones that have been set. Among the recent advances in speech recognition, the deployment of statis...
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Online Access: | http://eprints.utm.my/id/eprint/10994/1/LiewEngSiang2000_DevelopingaModelofSpeechRecognition.pdf http://eprints.utm.my/id/eprint/10994/ |
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my.utm.109942010-11-19T02:32:23Z http://eprints.utm.my/id/eprint/10994/ Developing a model of speech recognition process from an autopoietic approach Liew, Eng Siang Ahmad, Abd. Manan QA75 Electronic computers. Computer science Speech recognition is a time-tested research into the possibilities of reproducing human like qualities in machines such as computers. In the 40 years of exploration in this field, there are many milestones that have been set. Among the recent advances in speech recognition, the deployment of statistical techniques like Hidden Markov Models and connectionist techniques like Time Delayed Neural Network have rendered speech recognition into a very mature and commercially viable venture. Therefore, the direction of research in this paper is aimed at the improvement of current techniques rather than reinventing the wheel; particularly, autopoiesis is introduced in this paper to give a flair of self-organization to the cognitive process of speech recognition. It is hoped that this paper would provide complimentary alternatives to speech recognition rather than exclusive solutions it. 2000-11 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/10994/1/LiewEngSiang2000_DevelopingaModelofSpeechRecognition.pdf Liew, Eng Siang and Ahmad, Abd. Manan (2000) Developing a model of speech recognition process from an autopoietic approach. In: National Conference on Telecommunication Technology 2000, 20th - 21st Nov. 2000, Hyatt Regency Hotel, Johor Bahru. |
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QA75 Electronic computers. Computer science Liew, Eng Siang Ahmad, Abd. Manan Developing a model of speech recognition process from an autopoietic approach |
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Speech recognition is a time-tested research into the possibilities of reproducing human like qualities in machines such as computers. In the 40 years of exploration in this field, there are many milestones that have been set. Among the recent advances in speech recognition, the deployment of statistical techniques like Hidden Markov Models and connectionist techniques like Time Delayed Neural Network have rendered speech recognition into a very mature and commercially viable venture. Therefore, the direction of research in this paper is aimed at the improvement of current techniques rather than reinventing the wheel; particularly, autopoiesis is introduced in this paper to give a flair of self-organization to the cognitive process of speech recognition. It is hoped that this paper would provide complimentary alternatives to speech recognition rather than exclusive solutions it. |
format |
Conference or Workshop Item |
author |
Liew, Eng Siang Ahmad, Abd. Manan |
author_facet |
Liew, Eng Siang Ahmad, Abd. Manan |
author_sort |
Liew, Eng Siang |
title |
Developing a model of speech recognition process from an autopoietic approach |
title_short |
Developing a model of speech recognition process from an autopoietic approach |
title_full |
Developing a model of speech recognition process from an autopoietic approach |
title_fullStr |
Developing a model of speech recognition process from an autopoietic approach |
title_full_unstemmed |
Developing a model of speech recognition process from an autopoietic approach |
title_sort |
developing a model of speech recognition process from an autopoietic approach |
publishDate |
2000 |
url |
http://eprints.utm.my/id/eprint/10994/1/LiewEngSiang2000_DevelopingaModelofSpeechRecognition.pdf http://eprints.utm.my/id/eprint/10994/ |
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13.18916 |