Mohamad Khatim Hasan

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In rapid growth of software development particularly in telecommunication industry today, companies are competing to produce software which are claimed to be good and fulfill user's expectation. Thus software quality becomes the importance phase in the software development to make sure the high quality of the produced software. To measure the software(More)
This paper proposes a novel approach for automatic speaker weight estimation from spontaneous telephone speech signals. In this method, each utterance is modeled using the ivector framework which is based on the factor analysis on Gaussian Mixture Model (GMM) mean supervectors, and the Non-negative Factor Analysis (NFA) framework which is based on a(More)
Traffic congestion problem is one of the major problems that face many transportation decision makers for urban areas. The problem has many impacts on social, economical and development aspects of urban areas. Hence the solution to this problem is not straight forward. It requires a lot of effort, expertise, time and cost that sometime are not available.(More)
This paper proposes a novel approach for automatic speaker weight estimation from spontaneous telephone speech signals. In this method, each utterance is modeled using the ivector framework which is based on the factor analysis on Gaussian Mixture Model (GMM) mean supervectors, and the Non-negative Factor Analysis (NFA) framework which is based on a(More)
A learner corpus is a computerized textual database of the language produced by foreign language learners. Annotated learner corpora contain invaluable meta-information about learners and the errors they make. With proper feature extractions and machine learning techniques, it is possible to extract implicit and explicit knowledge from learner corpora and(More)
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