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Speech Recognition of Arabic Spoken Digits
Joint Authors
Ganoun, Ali
Zlitni, Nura
Allosh, Anas
Source
Conference Papers in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-18
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
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.
American Psychological Association (APA)
Allosh, Anas& Zlitni, Nura& Ganoun, Ali. 2013. Speech Recognition of Arabic Spoken Digits. Conference Papers in Engineering،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-448078
Modern Language Association (MLA)
Allosh, Anas…[et al.]. Speech Recognition of Arabic Spoken Digits. Conference Papers in Engineering No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-448078
American Medical Association (AMA)
Allosh, Anas& Zlitni, Nura& Ganoun, Ali. Speech Recognition of Arabic Spoken Digits. Conference Papers in Engineering. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-448078
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448078