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Mansour M. Alsulaiman

Professor

Faculty member, Department of Computer Engineering

علوم الحاسب والمعلومات
31 Building, 2nd Floor
صفحة

Funded Projects

 

Projects funded by National Science Technology and Innovation Plan (NSTIP), King Abdul Aziz City for Science and Technology (KACST), Kingdom of Saudi Arabia.

Project Title: Arabic Speaker Recognition                     
Grant No.: 08-INF167-02                Status: Completed          Budget: 1 Million SAR
Summary:
Arabic is one of the major languages in the world; however, the research on Arabic speaker recognition is not as extensive as in other languages, such as English and Japanese. Hence this project is an ambitious attempt to enrich the research in Arabic speaker recognition by building the system using many modeling techniques and many speech features and comparing the performance of these modeling techniques and the speech features. We also proposed a new high performance speech features that outperformed the most commonly speech features. A versatile component in the research in Arabic speech is the availability of a public speech database; hence in this project we built a very rich database that will be open to the research community.
 
Project Title: Automatic voice Pathology Assessment     
Grant No.: 12-MED2474-02            Status: Continue            Budget: 2 Million SAR
Summary:
The automatic detection and classification of voice pathology can be a great facilitator to physicians and can bridge the gap between the medical domain and information technology. The subjective assessment of voice pathology is not reliable because it varies with experience and the area of expertise. Alternatively, an automated system to detect and classify voice pathology can fail if it is not correctly designed. In this project, we aim to develop automatic systems to detect and classify voice pathology with powerful feature extraction techniques, and sophisticated modeling. An automatic speech recognition system for the vocally disordered person will also be developed. The vowel characteristics of a native Arab with voice pathology are different than those of a native American with voice pathology. Within the scope of the project, an Arabic voice database will be built, which will contain voice / speech from both voice-disordered people and people without voice pathology. The automatic systems will be evaluated in both English and Arabic using sustained vowels and continuous speech. The voice database and automated systems will contribute to the medical field of the Kingdom of Saudi Arabia as it represents pioneer research in the field.
 
Project Title: Computer-Aided Pronunciation Training System for Non-native Learners of theArabic Language
Grant No.: 13-INF977-02                Status: Approved           Budget: 1.6 Million SAR
Summary:
Speech processing technology-based computer-aided systems for pronunciation training have been the subject of considerable activity in the last decade. Many computer-assisted pronunciation training (CAPT) systems have been developed for second language (L2) learners of different languages, such as English, Dutch, Japanese, and Indonesian. CAPT systems have potential applications for society and can be beneficial for both language learners and trainers. Arabic is one of the most widely spoken languages in the world, but there has been little attention paid to the detection of pronunciation errors for non-Arabs of different nationalities. Many language learners are expatriates who come to Arabic-speaking countries from areas throughout the world to seek employment. These learners need to know how to speak Arabic for daily conversation; thus, such a system would be helpful to them. More importantly, a large number of people in the international community need to learn Arabic to read the Holy Quran. An effective CAPT system for L2 learners of Arabic would be beneficial because it would allow these learners to detect errors and make corrections without the assistance of a trainer. Such a system could be offered online with the Information Technology Plan for the Kingdom of Saudi Arabia