Universiti Teknologi Malaysia Institutional Repository

Developing a model of speech recognition process from an autopoietic approach

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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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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Towards Global Convergence Through Telecommunication
Uncontrolled Keywords:speech recognition, Hidden Markov Models, connectionist techniques
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:10994
Deposited By: Zalinda Shuratman
Deposited On:19 Nov 2010 10:32
Last Modified:19 Nov 2010 10:32

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