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Efficiency of the energy contained in modulators in the Arabic vowels recognition

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 11 No. 4 (2021)

DOI
10.11591/ijece.v11i4.pp3601-3608
ISSN
2722-2578, 2088-8708
Published
2021-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The speech signal is described as many acoustic properties that may contribute differently to spoken word recognition. Vowel characterization is an important process of studying the acoustic characteristics or behaviors of speech within different contexts. This current study focuses on the modulators characteristics of three Arabic vowels, we proposed a new approach to characterize the three Arabic vowels /a/, /i/ and /u/. The proposed method is based on the energy contained in the speech modulators. The coherent subband demodulation method related to the spectral center of gravity (COG) was used to calculate the energy of the speech modulators. The obtained results showed that the modulators energy help characterize the Arabic vowels /a/, /i/ and /u/ with an interesting recognition rate ranging from 86% to 100%.

Collaboration network of the authors

22 authors · 60 co-authorship links · 24 across different organisations

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  • Université Hassan 1er
  • Cadi Ayyad University
  • University of Hassan II Casablanca
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Abdellah AgrimaUniversité Hassan 1er7
Charifa HaourajiUniversité Hassan 1er6
Laila ElmazouziAffiliation unknown6
Hasnaa OubnakiUniversité Hassan 1er3
Karim TahiryUniversité Hassan 1er2
Younes El HachimiUniversité Hassan 1er1
Yassine GmihUniversité Hassan 1er1
El Mostafa MakroumUniversité Hassan 1er1
Ahmed MouhsenUniversité Hassan 1er1
Mohamed FarchiUniversité Hassan 1er1
Soufyane MounirUniversité Hassan 1er1
Ouadia El MaguiriUniversité Hassan 1er1
Driss MoussaifUniversité Hassan 1er1
El alami SmmaUniversité Hassan 1er1
Aziz AkhiateUniversity of Hassan II Casablanca1
Nihal RemzanUniversité Hassan 1er1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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