Quranic Verse Recitation Feature Extraction Using Mel-Frequency Cepstral Coefficient (MFCC)
In this research, we presented a features extraction method for Quranic Arabic recitation recognition, by using the Melfrequency Cepstral Coefficients (MFCC). The main contribution of the proposed speech recognition system is encouraged to recognize and differentiate the Quranic Arabic utterance and pronunciation based on the features vectors output produce, by using the MFCC features extraction method.
A Toolkit Design Framework for Authoring Multimedia Game-Oriented Educational Content
The learning content such as educational games has the power of engaging students as it allows them to explore and try out things that they have learned in a save and friendly environment.This research aims to address this need by designing an authoring tool that can operate as simple as Microsoft Power Point, in order to help teachers to produce and personalize their own game-oriented educational content.
Neuroscience Issues from Islamic Perspective
Focus of research is to look at issues from the Neuroscience and Islamic perspectives, e.g. sleep process, dementia. To address the different issues looked at, the research group is made up of individuals from different backgrounds.