Phonemes Classification Using the Spectrum

Ahmed El Ghazi (Faculty of Sciences and Techniques, Béni Mellal)
Cherki Daoui (Faculty of Sciences and Techniques, Béni Mellal)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 15, No 2: August 2015

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.