Table of Contents
Conference Papers in Engineering
Volume 2013, Article ID 130473, 6 pages
http://dx.doi.org/10.1155/2013/130473
Conference Paper

Speech Recognition of Arabic Spoken Digits

University of Tripoli, Faculty of Engineering, P.O. Box 13589, Tripoli, Libya

Received 27 February 2013; Accepted 9 May 2013

Academic Editors: A. Gaouda and H. Koivo

This Conference Paper is based on a presentation given by Anas Allosh at “International Conference on Electrical and Computer Engineering” held from 26 March 2013 to 28 March 2013 in Benghazi, Libya.

Copyright © 2013 Anas Allosh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

With the widespread growth in the use of digital computers, there has been an increasing need to be able to communicate with machines in a simple manner. One of the main tasks that simplify the communication with machines is the speech recognition. Speech recognition is the translation of spoken words into text. However, speech recognition is a very complex problem. This paper is related to the recognition of spoken Arabic digits. Two recognition techniques have been implemented and tested: Pitch Detection Algorithm (PDA) and Cepstrum Correlation Algorithm (CCA). In order to analyze the recognition accuracy of the selected techniques, a database of spoken Arabic digits has been created. The performance of the two techniques has been analyzed based on the created database.