Research Article
Real-Time Arabic Speech Recognition
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 81 - Issue 4 |
| Published: November 2013 |
| Authors: Zaid Y. Mohammed, Abdul Sattar M. Khidhir |
10.5120/14003-2048
|
Zaid Y. Mohammed, Abdul Sattar M. Khidhir . Real-Time Arabic Speech Recognition. International Journal of Computer Applications. 81, 4 (November 2013), 43-45. DOI=10.5120/14003-2048
@article{ 10.5120/14003-2048,
author = { Zaid Y. Mohammed,Abdul Sattar M. Khidhir },
title = { Real-Time Arabic Speech Recognition },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 81 },
number = { 4 },
pages = { 43-45 },
doi = { 10.5120/14003-2048 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Zaid Y. Mohammed
%A Abdul Sattar M. Khidhir
%T Real-Time Arabic Speech Recognition%T
%J International Journal of Computer Applications
%V 81
%N 4
%P 43-45
%R 10.5120/14003-2048
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Speech recognition system needs to perform a high complex calculation and short time to complete it. This is a big challenge for the real-time systems. However, using a simple and fast algorithm may do this task for the slow systems. Thus, the main objective of this paper is to design and implement a Real-Time Arabic Speech Recognition system using MATLAB environment. It is capable of accurately identifying some letters while remaining simple and fast. It uses the Mel-Frequency Cepstral Coefficients (MFCCs) as a feature extraction and Euclidean distance to compare the test sound and the database. A recognition rate of 89. 6% has been reached.
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