Classification of the incorrect speech signals

Authors:
Dzenana Donko;Ismet Traljic
Affiliations:
Faculty of Electrical Engineering, University of Sarajevo, Sarajevo, Bosnia And Herzegovina;Faculty of Electrical Engineering, University of Sarajevo, Sarajevo, Bosnia And Herzegovina
Venue:
ICCC'11 Proceedings of the 2011 international conference on Computers and computing
Year:
2011

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Abstract

This paper describes one approach of the classification of the speech signals. The initial signals are vowels collected during the speech therapy. Continuous wavelet transformation has been applied on these incorrectly pronounce vowels using Morlet wavelet. Coefficients have been analyzed in the context of three main formants that characterized each of the vowels. The selected coefficients have been classified into main clusters, and have been compared with the one obtained for correct signals. The further improvements have been proposed in order to use results in the daily speech therapy and to automate process.