Consonants recognition and noise reduction for Arabic phonemes based Malay speakers / Ali Abd Almisreb

Arabic phonemes can be categorised into 28 consonants. The variations in each phoneme and vowel cause difficulties for the non-native Arabic speakers, particularly the Malay speakers, to pronounce these letters correctly. Hence, in this thesis, noise reduction and consonants recognition are conducte...

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Main Author:	Almisreb, Ali Abd
Format:	Book Section
Language:	English
Published:	Institute of Graduate Studies, UiTM 2016
Subjects:	Malaysia Language. Linguistic theory. Comparative grammar
Online Access:	http://ir.uitm.edu.my/id/eprint/19629/ http://ir.uitm.edu.my/id/eprint/19629/1/ABS_ALI%20ABD%20ALMISREB%20TDRA%20VOL%209%20IGS%2016.pdf

id	uitm-19629
recordtype	eprints
spelling	uitm-196292018-06-07T03:18:40Z http://ir.uitm.edu.my/id/eprint/19629/ Consonants recognition and noise reduction for Arabic phonemes based Malay speakers / Ali Abd Almisreb Almisreb, Ali Abd Malaysia Language. Linguistic theory. Comparative grammar Arabic phonemes can be categorised into 28 consonants. The variations in each phoneme and vowel cause difficulties for the non-native Arabic speakers, particularly the Malay speakers, to pronounce these letters correctly. Hence, in this thesis, noise reduction and consonants recognition are conducted among the Malay speakers. The Malay race has been chosen due to the high usage of the Arabic language for reciting Al-Quran. Generally, the study is divided into two parts, namely, the study of noise reduction and consonant recognition. First, two noise removal methods were developed. The first method is based on combining Negative function with Gamma correction function. The second noise reduction method is addressed by utilising 2D Gabor filter. Furthermore, the consonant study was conducted based on Automatic Speech Recognition (ASR) system concept. The ASR composes of feature extraction stage followed by speech recognition. On the other hand, the feature extraction was implemented by investigating three different methods, namely, Mel-Frequency Cepstrum Coefficients (MFCC), Linear Prediction Coefficients (LPC) and Perceptual Linear Prediction (PLP)… Institute of Graduate Studies, UiTM 2016 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19629/1/ABS_ALI%20ABD%20ALMISREB%20TDRA%20VOL%209%20IGS%2016.pdf Almisreb, Ali Abd (2016) Consonants recognition and noise reduction for Arabic phonemes based Malay speakers / Ali Abd Almisreb. In: The Doctoral Research Abstracts. IGS Biannual Publication, 9 (9). Institute of Graduate Studies, UiTM, Shah Alam.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Malaysia Language. Linguistic theory. Comparative grammar
spellingShingle	Malaysia Language. Linguistic theory. Comparative grammar Almisreb, Ali Abd Consonants recognition and noise reduction for Arabic phonemes based Malay speakers / Ali Abd Almisreb
description	Arabic phonemes can be categorised into 28 consonants. The variations in each phoneme and vowel cause difficulties for the non-native Arabic speakers, particularly the Malay speakers, to pronounce these letters correctly. Hence, in this thesis, noise reduction and consonants recognition are conducted among the Malay speakers. The Malay race has been chosen due to the high usage of the Arabic language for reciting Al-Quran. Generally, the study is divided into two parts, namely, the study of noise reduction and consonant recognition. First, two noise removal methods were developed. The first method is based on combining Negative function with Gamma correction function. The second noise reduction method is addressed by utilising 2D Gabor filter. Furthermore, the consonant study was conducted based on Automatic Speech Recognition (ASR) system concept. The ASR composes of feature extraction stage followed by speech recognition. On the other hand, the feature extraction was implemented by investigating three different methods, namely, Mel-Frequency Cepstrum Coefficients (MFCC), Linear Prediction Coefficients (LPC) and Perceptual Linear Prediction (PLP)…
format	Book Section
author	Almisreb, Ali Abd
author_facet	Almisreb, Ali Abd
author_sort	Almisreb, Ali Abd
title	Consonants recognition and noise reduction for Arabic phonemes based Malay speakers / Ali Abd Almisreb
title_short	Consonants recognition and noise reduction for Arabic phonemes based Malay speakers / Ali Abd Almisreb
title_full	Consonants recognition and noise reduction for Arabic phonemes based Malay speakers / Ali Abd Almisreb
title_fullStr	Consonants recognition and noise reduction for Arabic phonemes based Malay speakers / Ali Abd Almisreb
title_full_unstemmed	Consonants recognition and noise reduction for Arabic phonemes based Malay speakers / Ali Abd Almisreb
title_sort	consonants recognition and noise reduction for arabic phonemes based malay speakers / ali abd almisreb
publisher	Institute of Graduate Studies, UiTM
publishDate	2016
url	http://ir.uitm.edu.my/id/eprint/19629/ http://ir.uitm.edu.my/id/eprint/19629/1/ABS_ALI%20ABD%20ALMISREB%20TDRA%20VOL%209%20IGS%2016.pdf
first_indexed	2023-09-18T23:02:58Z
last_indexed	2023-09-18T23:02:58Z
_version_	1777418295851352064

Consonants recognition and noise reduction for Arabic phonemes based Malay speakers / Ali Abd Almisreb

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