The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMPUTERS AND COMMUNICATIONS
Transactions ID Number: 17-118
Full Name: Dzenana Donko
Position: Professor
Age: ON
Sex: Female
Address: Kampus Univerziteta, Zmaja od Bosne bb, 71000 Sarajevo
Country: BOSNIA AND HERZEGOVINA
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E-mail address: ddonko@etf.unsa.ba
Other E-mails: ddonko@yahoo.com
Title of the Paper: classification in the speech recognition
Authors as they appear in the Paper: Dzenana Donko
Email addresses of all the authors: ddonko@etf.unsa.ba
Number of paper pages: 8
Abstract: This paper presents specific approach of the classification of the incorrect speech sounds. Sampled data are vowels gathered during the speech therapy with children that have difficulties to pronounce them correctly. 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. At the end some improvements have been proposed in order to use results in the daily speech therapy and to automate process.
Keywords: Classification Morlet wavelet Speech Therapy
EXTENSION of the file: .pdf
Special (Invited) Session: Classification of the Incorrect Speech Signals
Organizer of the Session: 510-184
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