arabic speech recognition thesis



Institutional Repository. An acoustic-phonetic approach in automatic. Arabic speech recognition. This item was submitted to Loughborough University's Institutional Repository by the/an author. Additional Information: • A Doctoral Thesis. Submitted in partial fulfillment of the requirements for the award of Doctor of Philosophy
Arabic Speech Recognition Systems. By. Hamda M. M. Eljagmani. Bachelor of Science. Computer Engineering. Zawia University. Engineering College. A thesis submitted to the College of Engineering. At Florida Institute of Technology in partial fulfillment of the requirements for the degree of. Master of Science in. Electrical
In this thesis we investigate the potential of developing a speech recognition system based on a recently introduced artificial neural network (ANN) tech- nique, namely Reservoir Computing (RC). This technique has, in theory, a higher capability for modelling dynamic behaviour compared to feed-forward. ANNs due to the
systems. It provides a literature survey of Arabic speech recognition systems and discusses some of the challenges of Arabic from the speech recognition point of view. ..... M.Sc. thesis, King. Saud University. Alotaibi Y, Selouani S, O'Shaughnessy D (2008) Experiments on automatic recognition of nonnative Arabic speech.
SRN is a non-profit initiative working to achieve how to write a book report a Scotland where mental health recovery is a reality for all. . google arabic speech recognition thesis doc.
suggested and used for the first time and are an addition to ASR in Arabic and other languages. The methods have produced excellent results that compete with other known models in the field of speech recognition. After this thesis, a case study was conducted and an application using automatic speech recognition has
The Islamic University-Gaza. Deanery of Higher Studies. Faculty of Engineering. Computer Engineering Department. Arabic Continuous Speech. Recognition System using. Sphinx-4. Submitted By: Eman Ziad Elzaza. Supervisor: Dr. Wesam Ashour. A Thesis Submitted in Partial Fulfillment of the Requirements for the.
19.10.2015 -
26.08.2011 -
Investigation Arabic Speech Recognition. Using CMU Sphinx System. Hassan Satori1, 2, Hussein Hiyassat3, Mostafa Harti1, 2, and Noureddine Chenfour1, 2. 1UFR Informatique et Nouvelles Technologies d'Information, Dhar Mehraz Fès, Morocco. 2Département de Mathématiques et Informatique, Faculté des Sciences,

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