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Reseach Article

Application of HMM and Substitution Phonemic

by Bouamama RÈda Sadouki, Abed AhcÈne, Mouhamed Djebbouri
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 19
Year of Publication: 2014
Authors: Bouamama RÈda Sadouki, Abed AhcÈne, Mouhamed Djebbouri
10.5120/15833-4714

Bouamama RÈda Sadouki, Abed AhcÈne, Mouhamed Djebbouri . Application of HMM and Substitution Phonemic. International Journal of Computer Applications. 90, 19 ( March 2014), 43-47. DOI=10.5120/15833-4714

@article{ 10.5120/15833-4714,
author = { Bouamama RÈda Sadouki, Abed AhcÈne, Mouhamed Djebbouri },
title = { Application of HMM and Substitution Phonemic },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 19 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 43-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number19/15833-4714/ },
doi = { 10.5120/15833-4714 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:11:31.705791+05:30
%A Bouamama RÈda Sadouki
%A Abed AhcÈne
%A Mouhamed Djebbouri
%T Application of HMM and Substitution Phonemic
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 19
%P 43-47
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The performances of an automatic system of recognition of word are, generally, directly related to quality, the type and the quantity of the data of training. This article shows the effect like the speaker on the performances of a system of recognition of the words isolated directed towards the problem from pathology from the spoken Arabic, in particular, substitution of the spoken Arabic. The system suggested is based on the models of markov hidden (HMM) whose exit is modeled by a density multigaussiennes (GMM). For the representation of the signals of word coefficients (MFCC) are used.

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Index Terms

Computer Science
Information Sciences

Keywords

Component Automatic Speech Recognition Language Pathology Phonemic Substitution GM MFCC HMM Arabic spoke.