Waleed Nazih

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This paper describes a speech-enabled Computer Aided Pronunciation Learning (CAPL) system HAFSS ©. This system was developed for teaching Arabic pronunciations to non-native speakers. A challenging application of HAFSS © is teaching the correct recitation of the holy Qur'an. HAFSS © uses a state of the art speech recognizer to detect errors in user(More)
This paper presents an optical character/text recognition (OCR) system for cursive scripts like those of Arabic, Urdu, Persian, Kurdish, etc. This OCR system is a large-scale one in the sense of architecture, training data size, and state-of-the-art performance. The paper introduces the theoretical derivation and experimental assessment of our two main(More)
Further analysis and experimentation is carried out in this paper for a chaotic dynamic model, viz. the Nonlinear Dynamic State neuron (NDS). The analysis and experimentations are performed to further understand the underlying dynamics of the model and enhance it as well. Chaos provides many interesting properties that can be exploited to achieve(More)
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