Comparative study of ANN and HMM to Arabic digits recognition systems
Other Title(s)
دراسة مقارنة بين أداء الخلايا العصبية و نموذج ماركوف الخفي في أداء التعرف الآلي على الأرقام العربية المنطوقة
Author
Source
Journal of King Abdulaziz University : Engineering Sciences
Issue
Vol. 19, Issue 1 (30 Jun. 2008), pp.43-60, 18 p.
Publisher
King Abdulaziz University Scientific Publishing Center
Publication Date
2008-06-30
Country of Publication
Saudi Arabia
No. of Pages
18
Main Subjects
Languages & Comparative Literature
Information Technology and Computer Science
Abstract EN
Arabic language is a Semitic language that has many differences when compared to Latin languages such as English.
One of these differences is how to pronounce the ten digits, zero through nine.
All Arabic digits are polysyllabic (except digit zero which is a monosyllabic) words and most of them contain Arabic unique phonemes, namely, pharyngeal and emphatic subset.
In a previous paper the researcher designed an Artificial Neural Networks (ANN) based Arabic digits recognition system.
In this paper we continued the research by designing Hidden Markov Model (HMM) based system that was designed and tested with automatic Arabic digits recognition.
The old system was isolated whole word speech recognizer, but the current one was an isolated word phoneme based recognizer.
Both systems were implemented both as a multi-speaker (i.e., the same set of speakers were used in both the training and testing phases) mode and speaker-independent (i.e., speakers used for training are different from those used for testing) mode.
The main aim of this paper was to compare, analyze, and discuss the outcomes of these two recognition systems.
The ANN based recognition system achieved 99.5% correct digit recognition in the case of multi-speaker mode, and 94.5% in the case of speaker-independent mode.
On the other hand, the HMM based recognition system achieved 98.1% correct digit recognition in the case of multi-speaker mode, and 94.8% in the case of speakerindependent mode.
American Psychological Association (APA)
al-Utaybi, Yusuf Ajami. 2008. Comparative study of ANN and HMM to Arabic digits recognition systems. Journal of King Abdulaziz University : Engineering Sciences،Vol. 19, no. 1, pp.43-60.
https://search.emarefa.net/detail/BIM-329936
Modern Language Association (MLA)
al-Utaybi, Yusuf Ajami. Comparative study of ANN and HMM to Arabic digits recognition systems. Journal of King Abdulaziz University : Engineering Sciences Vol. 19, no. 1 (2008), pp.43-60.
https://search.emarefa.net/detail/BIM-329936
American Medical Association (AMA)
al-Utaybi, Yusuf Ajami. Comparative study of ANN and HMM to Arabic digits recognition systems. Journal of King Abdulaziz University : Engineering Sciences. 2008. Vol. 19, no. 1, pp.43-60.
https://search.emarefa.net/detail/BIM-329936
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 57-58
Record ID
BIM-329936