Hassanin Al-Barhamtoshy | King AbdulAziz University (KAU) Jeddah, Saudi Arabia (original) (raw)

Papers by Hassanin Al-Barhamtoshy

Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control

This paper aims to evaluate EEG as an application predictor of Holland test with career interest.... more This paper aims to evaluate EEG as an application predictor of Holland test with career interest. Consequently, it is essential to develop and analyze the brain wave of clinical changes of the EEG signals during Holland answering questions. The experimental test begins by answering Holland test with 34 participants of staff members at KAU (College of Computing and Information Technology and College of Engineering). Accordingly, the test is applied twice, one without using EEG and the second with EEG recording. The proposed solution uses 34 answering of participants of Holland career test dataset after getting the content data from the answering of Holland using the EEG and initial career assessment. Consequently, the Holland answering test (without EEG) is analyzed along with EEG analysis of the Holland answering in different frequency bands such as delta, theta, alpha and beta. Therefore, we aim to provide researchers, a methodology, if we could identify career interest using EEG signals or to determine the level of contribution of EEG signals would support identifying career types.

This paper introduces to students’ monitoring system taken into consideration easy access and tim... more This paper introduces to students’ monitoring system taken into consideration easy access and time saving. The proposed system will be used in faculty of computing and information system at King Abdulaziz University (KAU). Radio Frequency Identification (RFID) and wireless technology are two characteristics which will be applied as infrastructure in the indoor environment. University Based Services (UBS) and tag IDs of the RFID are being used in this paper, in order to determine the location and predict the next positional direction with reader node. An academic system for identifying and monitoring attendance at computing college at KAU will be described. Therefore, hybrid RFID and Wireless LAN (WLAN) technologies will be proposed to be positional in indoor academic environment.

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)

ACM Transactions on Asian and Low-Resource Language Information Processing

The problem of Region of Interest (RoI) in document layout analysis and document recognition has ... more The problem of Region of Interest (RoI) in document layout analysis and document recognition has recently become an essential topic in OCRing systems. Arabic manuscript layout analysis and OCRing recognition using language detection, document category, and RoI with Keras and TensorFlow are terms of the state-of-the-art that should be investigated. This article investigates the problem of Arabic manuscript recognition problems with respect to in OCRing-based recognition. A new framework architecture, which integrates Fast Gradient Sign Method (FGSM) using Keras and TensorFlow with adversarial image generation during training procedure is proposed. Also, the article tries to improve the OCRing accuracy of the image enhancement, alignment, layout analysis, and recognition using deep learning in multilingual system. RoIs detections will be performed using a custom trained deep learning model using bounding box regression with Keras and TensorFlow. This topic investigates an extension of...

2022 20th International Conference on Language Engineering (ESOLEC)

Computer Systems Science and Engineering

Any natural language may have dozens of accents. Even though the equivalent phonemic formation of... more Any natural language may have dozens of accents. Even though the equivalent phonemic formation of the word, if it is properly called in different accents, humans do have audio signals that are distinct from one another. Among the most common issues with speech, the processing is discrepancies in pronunciation, accent, and enunciation. This research study examines the issues of detecting, fixing, and summarising accent defects of average Arabic individuals in English-speaking speech. The article then discusses the key approaches and structure that will be utilized to address both accent flaws and pronunciation issues. The proposed SpeakCorrect computerized interface employs a cuttingedge speech recognition system and analyses pronunciation errors with a speech decoder. As a result, some of the most essential types of changes in pronunciation that are significant for speech recognition are performed, and accent defects defining such differences are presented. Consequently, the suggested technique increases the Speaker's accuracy. SpeakCorrect uses 100 h of phonetically prepared individuals to construct a pronunciation instruction repository. These prerecorded sets are used to train Hidden Markov Models (HMM) as well as weighted graph systems. Their speeches are quite clear and might be considered natural. The proposed interface is optimized for use with an integrated phonetic pronounced dataset, as well as for analyzing and identifying speech faults in Saudi and Egyptian dialects. The proposed interface detects, analyses, and assists English learners in correcting utterance faults, overcoming problems, and improving their pronunciations.

2022 20th International Conference on Language Engineering (ESOLEC)

Processes, 2022

The way in which people speak reveals a lot about where they are from, where they were raised, an... more The way in which people speak reveals a lot about where they are from, where they were raised, and also where they have recently lived. When communicating in a foreign language or second language, accents from one’s first language are likely to emerge, giving an individual a ‘strange’ accent. This is a great and challenging problem. Not particularly, because it is a part of one’s personality that they do not have to give up. It is only challenging when pronunciation causes a disruption in communication between an individual and the individuals with whom they are speaking. Making oneself understandable is the goal of perfecting English pronunciations. Many people require their pronunciation to be perfect, such as those individuals working in the healthcare industry, where it is rather critical that each term be read precisely. Speak Correct offers each of its users a service that assists them with any English pronunciation concerns that may arise. Some of the pronunciation improvemen...

2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015

In this work we propose a fully automatic pre-processing technique to enhance the digital camera ... more In this work we propose a fully automatic pre-processing technique to enhance the digital camera captured images and rectify the different known types of distortion to improve the performance of OCR applications. Our proposed approach depends on the features of the text lines and letters and doesn't need any especial equipment. Experimental results on a real mobile digital camera (Samsung Galaxy S2 with 8-MP sensor) captured images demonstrate 10~16 % enhancement in current commercial Arabic OCR packages.

Information Cairo University The percentage of people who produce a neat and clear handwriting is... more Information Cairo University The percentage of people who produce a neat and clear handwriting is declining sharply. The traditional approach for handwriting teaching is to have a dedicated teacher for long hours of handwriting practice. Unfortunately, this is not feasible in many cases. In this paper we introduce an automated tool for teaching Arabic handwriting using tablet PCs and on-line handwriting recognition techniques. This tool can simulate the tasks performed by a human handwriting teacher of detecting the segments of hypothesized writing errors and producing instructive real time feedback to help the student to improve his handwriting quality. The tool consists of two main components, the guided writing component and the free writing component. In the guided writing mode the student is required to write over transparent images for the training examples to limit his hand movements. After the student acquires the basic skills of handwriting he can practice the free writing ...

This paper introduces to get good accuracy for Arabic OCRresultsforolddocumentsandcalligraphydocu... more This paper introduces to get good accuracy for Arabic OCRresultsforolddocumentsandcalligraphydocuments.While our developed system has provided accurate results for modern Arabic documents, when we used that system for old Arabic documents, we got a steep degradation in performance, (around 25% accuracy compared with 85% for modern Arabic documents).MarketofArabicOCRforolddocumentsislargeand it deservers higher attention even more than the modern documents, which in many cases are already distributed in digitized format. Therefore, in this paper, we addresses the challengesofArabicOCRforolddocuments.Wemadethreemain modifications for our system. Firstly, we eliminated the word segmentation step and run the OCR process on the complete line. With this modification, we managed to avoid large number of segmentation errors on the word level but had to change our recognition approach to be a dictionary based. The second modification, we changed the used features to histogram gravity basedon...

In this paper we introduce the SpeakCorrect system which is a Computer Aided Pronunciation Traini... more In this paper we introduce the SpeakCorrect system which is a Computer Aided Pronunciation Training (CAPT) system for native Arabic students of English. The system is designed with optimized performance for the target users group. It is L1 dependent system and only the frequent pronunciation errors of native Arabic speakers are examined. Several adaptation techniques such as Speaker Adaptive Training (SAT), Speaker Clustering (SC) and Maximum Likelihood Linear Regression (MLLR) are used to boost the performance of the SpeakCorrect system. The decision reached by the SpeakCorrect system is accompanied by a posterior based confidence score to reduce effect of misleading system feedback.Evaluation results for the system are promising and show significant improvements in the users' pronunciation proficiency. [Sherif Abdou, Mohsen Rashwan, Hassanin Al-Barhamtoshy, Kamal Jambi and Wajdi Al-Jedaibi. Speak Correct: A Computer Aided Pronunciation Training System for Native Arabic Learner...

Saudi Arabia adopted “Vision 2030” as a roadmap for economic growth and national development. Fac... more Saudi Arabia adopted “Vision 2030” as a roadmap for economic growth and national development. Faculty of Computing & Information Technology (FCIT) to comply with the national vision will establish a new unit for Technology Transfer and Commercialization of Intellectual Property, specializing in technology transfer. In general, universities have two main functions. One is to educate students and pass on knowledge; the other is to engage in research and innovation. In universities, some research is purely scientific research conducted to promote scientific development and human progress, and these studies/researches may never have practical commercial value. Commercial entities will not pay attention to this research project due to the unpredictability of commercial value. But at the same time, the research of many universities is of great commercial value, and universities can obtain huge benefits from it. These benefits can be used to support research funding and enhance reputation ...

A new investigation in the Arabic OCR system has presented for the offline recognition of machine... more A new investigation in the Arabic OCR system has presented for the offline recognition of machineprinted cursive words. Therefore, a reliable transformation mechanism will be used to transform image text into free text (ASCII or Unicode Texts), that can be directly searched by a computer. Therefore, traditional preprocessing model (segmentation phase) will be included to extract each word from image text and divide it into segments. Then, recognition phase will take place, to find the most likelihoods of each possible text/character class given the segments. Accordingly, many classifiers can be used such as neural networks, Naïve Bayes, HMM classifiers. Such likelihoods are used to feed special algorithm as input in such ways to recognize the entire word. The whole process of the proposed framework includes three main stages: preparation, training, and testing. The data preparation aims at scanning, data image selection, alignment, identify text regions, and separate non text or ima...

ArXiv, 2014

Arabic handwriting is a consonantal and cursive writing. The analysis of Arabic script is further... more Arabic handwriting is a consonantal and cursive writing. The analysis of Arabic script is further complicated due to obligatory dots/strokes that are placed above or below most letters and usually written delayed in order. Due to ambiguities and diversities of writing styles, recognition systems are generally based on a set of possible words called lexicon. When the lexicon is small, recognition accuracy is more important as the recognition time is minimal. On the other hand, recognition speed as well as the accuracy are both critical when handling large lexicons. Arabic is rich in morphology and syntax which makes its lexicon large. Therefore, a practical online handwriting recognition system should be able to handle a large lexicon with reasonable performance in terms of both accuracy and time. In this paper, we introduce a fully-fledged Hidden Markov Model (HMM) based system for Arabic online handwriting recognition that provides solutions for most of the difficulties inherent in...

Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)

ACM Transactions on Asian and Low-Resource Language Information Processing

2022 20th International Conference on Language Engineering (ESOLEC)

Computer Systems Science and Engineering

2022 20th International Conference on Language Engineering (ESOLEC)

Processes, 2022

2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015

ArXiv, 2014

Articulation features are more natural representatives for the speech signal. In this paper we in... more Articulation features are more natural representatives for the speech signal. In this paper we introduce an effort to utilize articulation features for confidence scoring in a Computer Aided Pronunciation Learning (CAPL) system. An HMM model is trained to classify the user utterance to binary manner features. An articulation based confidence is estimated based on the matching degree between the classified manner features and the reference manner hypothesis. The proposed confidence was evaluated with a test data set of 1 hour that was labeled and segmented manually and achieved an average accuracy of 92.6% for matching with expert judgment. Also when integrated in the CAPL Hafss system the proposed articulation based confidence measure managed to reduce the FALSE rejections by 25% but with minor degradation on the errors detection rate.

The paper introduces the problems of detecting and correcting accent defects, and also summarizes... more The paper introduces the problems of detecting and correcting accent defects, and also summarizes typical Arabic speakers in English spoken language. Then, it introduces the essential probabilistic architecture that will be used to solve both accent defects and pronunciation problems.
Consequently, some of important kinds of variations in pronunciation that are important for speech recognition are carried out and presents accent defects describing such variations. Therefore, high quality speech algorithms need to know when to use particular pronunciation variants. Also, the paper focuses on the essential programming algorithm and various instantiations and also a probabilistic of artificial neural network, HMM, or weighted augmented transition network called weighted ATN.
The proposed method improves the accuracy of correct speaker. Using the SpeakCorrect, 100 hours from speakers phonetically prerecorded are used to create pronunciation training database. HMM and the weighted ATN models are trained using such prerecorded sets. Their speeches are very clear, acceptable as natural speeches. The proposed framework is optimized to suit embedded the phonetic pronounced database. This proposed frame work has been tested for Saudi and Egyptian accents.
This paper is a practical reference guide for teaching of English as a foreign language (Saudi and Egyptian accents). It is used to help learners to anticipate the characteristic difficulties of English who speak Arabic mother tongues, and how these difficulties overcome.