Open AccessPhonemes Classification Using the Spectrum
Author(s) -
Ahmed El Ghazi,
Cherki Daoui
Publication year - 2015
Publication title -
telkomnika: indonesian journal of electrical engineering/telkomnika
Language(s) - English
Resource type - Journals
eISSN - 2460-7673
pISSN - 2302-4046
DOI - 10.11591/tijee.v15i2.1551
Subject(s) - computer science , speech recognition , presentation (obstetrics) , quality (philosophy) , speech processing , speech synthesis , natural language processing , artificial intelligence , medicine , philosophy , epistemology , radiology
In this work, we present an automatic speech classification system for the Tamazight phonemes. We based on the spectrum presentation of the speech signal to model these phonemes. We have used an oral database of Tamazight phonemes. To test the system’s performances, we calculate the classification rate. The obtained results are satisfactory in comparison with the reference database and the quality of speech files.