UUM Electronic Theses and Dissertation
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Arabic Phonetic Modeling From Speech Recognition Perspective

Albakoosh, Esmaeil M. A. (2010) Arabic Phonetic Modeling From Speech Recognition Perspective. Masters thesis, Universiti Utara Malaysia.

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Abstract

The Arabic language is a collection of varieties, among which Modern Standard Arabic (MSA) has a special case, because it is the formal language of media, culture, and
education in the Arab world. Other varieties are the informal spoken dialects which are the medium of communication of everyday life. Substantial differences between the two varieties can be found in terms of phonology, morphology, lexical choice, and syntax. The main purpose of this study is to model the Libyan Arabic dialects for speech recognition. Specifically, it attempts to propose a Libyan Arabic dialect-influenced phonetic modeling for use of ASR.

Item Type: Thesis (Masters)
Supervisor : Husni, Husniza
Item ID: 2224
Uncontrolled Keywords: Libyan speech recognition, automatic speech recognition, dialect, phonetic modeling
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions: College of Arts and Sciences (CAS)
Date Deposited: 26 Dec 2010 08:57
Last Modified: 24 Jul 2013 12:14
Department: College of Arts and Sciences
Name: Husni, Husniza
URI: https://etd.uum.edu.my/id/eprint/2224

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