Arabic vowels characterization and classification using the normalized energy in frequency bands

Autor:	Mohamed Farchi, Karim Tahiry, Ahmed Mouhsen
Rok vydání:	2023
Předmět:	Control and Optimization Computer Networks and Communications Hardware and Architecture Control and Systems Engineering Computer Science (miscellaneous) Electrical and Electronic Engineering Instrumentation Information Systems
Zdroj:	Bulletin of Electrical Engineering and Informatics. 12:268-274
ISSN:	2302-9285 2089-3191
DOI:	10.11591/eei.v12i1.4395
Popis:	The main objective of this work is to conduct an acoustic study of Arabic vowels (/a/, /a:/, /u/, /u:/, /i/ and /i:/) in order to determine the most relevant characteristics that allow recognizing these vowels. The analysis of vowel spectrograms reveals that the energy distribution as a function of time and frequency clearly differs according to the considered vowel. Thus, we used the normalized energy in frequency bands to classify these vowels. Thereafter, we have exploited the obtained results to develop algorithms that allow the classification of vowels and the distinction of the long vowels from the short ones. The efficiency of these algorithms was evaluated by testing their performances on our Arabic corpus.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fe7f74ba60e300fb89604584ce03f462 https://doi.org/10.11591/eei.v12i1.4395 Zobrazit plný text záznamu