HMM-GMM classification for articulation disorder correction among Algerian children
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 4 (31 Jul. 2016), pp.1-7, 7 p.
Publisher
Publication Date
2016-07-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Electronic engineering
Arabic language and Literature
Topics
Abstract EN
In this paper, we propose an automatic classification for Arabic phonemic substitution using an Hidden Markov Model / Gaussian Mixture Model (HMM / GMM) systems.
The main objective is to help Algerian children in the correction of articulation problems.
Five cases are analyzed in the experiments, 20 Arabic words are recorded by a 20 Algerian children, with age range between 4 and 6 years old.
Signals are recorded and stored as wave format with 16kHz as sampling rate, 12 Mel Frequency Cepstral Coefficients (MFCC), with their first and second derivates, respectively / and // are extracted from each signal and used to the training and recognition phases.
The proposed system achieved its best accuracy recognition 85.73 %, with 5-stats HMM when the output function is modelled by a GMM with 8 gaussian components.
American Psychological Association (APA)
Ahcene, Abd& Guerti, Mhania. 2016. HMM-GMM classification for articulation disorder correction among Algerian children. The International Arab Journal of Information Technology،Vol. 13, no. 4, pp.1-7.
https://search.emarefa.net/detail/BIM-655058
Modern Language Association (MLA)
Ahcene, Abd& Guerti, Mhania. HMM-GMM classification for articulation disorder correction among Algerian children. The International Arab Journal of Information Technology Vol. 13, no. 4 (Jul. 2016), pp.1-7.
https://search.emarefa.net/detail/BIM-655058
American Medical Association (AMA)
Ahcene, Abd& Guerti, Mhania. HMM-GMM classification for articulation disorder correction among Algerian children. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 4, pp.1-7.
https://search.emarefa.net/detail/BIM-655058
Data Type
Journal Articles
Language
English
Notes
Includes appendices.
Record ID
BIM-655058