Volume 1, Issue 2

Recognition of Vowels from Spoken Phonemes

Author

Pratyush Ranjan Mohapatra* and Satyajit Nayak

Abstract

Abstract:

The research paper is rooted in artificial intelligence and phonetics. Within artificial intelligence, the most relevant subfield is the one that tries to model the origins of intelligence. Within phonetics it is the subfield that is interested in explaining the structure of sounds that are found in human languages. The methodology of the research— using agent-based simulations for modeling aspects of human intelligence— is that of artificial intelligence. The data on which the simulations were based and the data that were used for verifying the results were taken from the field of phonetics. The research questions were taken from both fields. The most important phonetic work on which the thesis is based is that on the functional explanation of the regularities that are found in the vowel systems of the world‟s languages. Phoneticians have also used computer models (see e.g. Liljencrants & Lindblom 1972, Schwartz et al. 1997b) for this purpose. However, all these models were based on direct optimization of functional criteria. This is unfortunate, because humans do not optimize their sound systems. Nevertheless, the models based on optimization predict the most frequently occurring human vowel systems very well. The hypothesis that is investigated in this thesis is that the optimization is the result of self-organization in the interactions between the language users.

DOI

https://doi.org/10.62226/ijarst20120240

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