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In Malaysia, Arabic language is spoken, and commonly used among the Malays. Malays use Arabic in their daily life, such as during performing worship. Hence, in this paper, some of the Arabic vowels attributes are investigated, analyzed and initial findings are presented based on tokens articulated by Malay speakers as we can consider the spoken Arabic by Malays as one of the Arabic dialects. It is...
In this paper, an investigation of Arabic phonemes articulation based the vowel /a:/ is addressed. All the Arabic phonemes are uttered by Malay speakers. This paper aims to discover the pronounciation of Arabic phonemes based /a:/ vowel by Malay subjects. 8 Malay speakers have articulated 224 tokens of Consonant-Vowel syllables. Audacity 2.0.3 software is utilised in order to record all the tokens...
Formants characteristics help to investigate the proper articulation manner of vowels. Arabic phonemes articulation based on the vowel /a:/ is addressed in this paper. The investigation based on Arabic phonemes uttered by Malay speakers. In total, 8 Malay subjects are involved to record 224 tokens of Arabic phonemes based the vowel /a:/. Each subject is given one chance to utter the phonemes. The...
Nowadays video surveillance system are very important in an urban and rural area that can operate day and night, in all weather conditions. It is a challenging task to detect human due to body size, occlusion, lighting conditions, cluttered background, cloth texture and similarity of the human body/clothing with the background. Hence, in this paper, thermal and color images are utilized to evaluate...
Arabic phonemes can be categorized as voiced and voiceless with each phoneme has a different articulation manner according to the corresponding vowel. In addition, Arabic language comprises of six vowels. Hence, in this paper, a comparison within each vowel between the voiced and voiceless Arabic phonemes is conducted. The experiments are based on Malay speakers. In total, 1433 tokens are recorded...
Speech recognition techniques for Arabic language are still in its infant stage and gain much attention recently. This is due to Arabic as the language of the Holy book of Muslims; hence it has attracted attention of native speakers and other Muslims who are non-native Arabic speakers as they need to use Arabic language while performing worships. Therefore, this research investigated Arabic phonemes...
The selection of the proper feature extraction method is an essential issue for any Automatic Speech Recognition system. This has been conducted in order to choose the suitable feature extraction method for Arabic phoneme recognition system based Malay speakers. In this paper, the implementation of three feature extraction methods involves Frequency Cepstral Coefficients (MFCC), Linear Predictive...
Arabic language is used as a second language by a wide category of Muslims for reciting the Holy book of Muslims (Qur'an). The continuous Arabic phonemes corpus adds more challenges to the Automatic Speech Recognition system by paying more efforts in order to determine the start and end points for each phoneme. In addition, looking for a similar phoneme signal inside another long speech signal. In...
Arabic language can be used by native and nonnative speakers; due to Arabic is the language of the holy book of Muslims. In this paper, Arabic phoneme recognition system is proposed based on Malay speakers. This system consists of three main stages. The first stage is noise reduction and it aims to enhance the phoneme signals by excluding the unvoiced signals and keep only the voiced signal. Wiener...
Nowadays, research on Arabic language for non-native speakers is becoming more essential due to the usage of Arabic language by all Muslims for instance, during recitation of the Holy Quran. Hence, this research explores the development of speech processing as to ensure accuracy and efficiency is attainable since these elements are the most vital part in a speech recognition system. As we know, during...
In this paper, an investigation of segmentation method for Arabic letters signals spoken by Malay speakers, which is the main step for further speech processing for the purpose of identifying proper pronunciation is performed will be discussed. Recording any corpus requires suitable environment in order to reduce the noise but in our application mobility is the most vital point for speech recording...
Ear as biometrics is still in its infant stage. Further research can be explored using ear as recognition of a subject and one of the vital stages to be investigated is segmentation of the ear. Hence, in this paper we address an enhanced technique of ear segmentation that has improved recognition accuracy as compared to our previous method. The proposed method adapted the Kernel Graph approach and...
Arabic language is used as a second language by a wide category of Muslims for reciting the Holy book of Muslims (Qur'an). In this paper, a description of an effective and usable Arabic letters corpus uttered by Malay speakers. This corpus can be used to study the properties and the differences of pronunciations for non native. The designed corpus consists of 1400 samples recorded by 50 Malay individuals...
The aim of this paper is to propose a new method for pupil boundary detection. Iris recognition system is considered as one of the most dependable identification system. Anyhow, these systems are still not widespread due to many weaknesses, for example, the processing time is still not instant that lead to ineffectual identification method. One of the major tasks in iris recognition systems is accurate...
Biometrics systems based on ear are still in need of more investigation to make it robust and accurate. The most critical step in ear recognition is segmentation as all subsequent steps will depend on the accuracy of segmentation. In this paper, a robust ear segmentation method is suggested. The proposed method consists of a sequence of steps. First, a Biased Normalized Cuts method is applied to initiate...
Iris recognition system is until now impractical to implement in real time environment due to the unfeasible processing time. Therefore, solutions are required to enhance the performance of an iris recognition system. Since pupil segmentation is one of the important tasks in iris localization procedure, in this paper, a technique to isolate the pupil boundary is discussed. We have proposed a new thresholding...
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