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Improving training of neural networks for speech recognition - by Caroline Elie Jabra Alagha

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dc.contributor.author Jabra Alagha, Caroline Elie
dc.date.accessioned 2012-06-13T07:10:52Z
dc.date.available 2012-06-13T07:10:52Z
dc.date.issued 2007
dc.identifier.uri http://hdl.handle.net/10938/7524
dc.description Thesis (M.E.)--American University of Beirut, Dept. of Electrical and Computer Engineering, 2007.;"Advisor: Dr. Mohamad Adnan Al-Alaoui, Professor, Electrical and Computer Engineering--Member of Committee: Dr. Ali Chehab, Assistant Professor, Electrical a
dc.description Bibliography : leaves 68-71.
dc.description.abstract Speech is a natural mean of communication between people. As we grow up we learn how to speak with little or no instruction. We take the process of generating a nd recognizing speech for granted not realizing how complex it is. The non linea rity of the h
dc.format.extent xi, 71 leaves : ill. 30 cm.
dc.language.iso eng
dc.relation.ispartof Theses, Dissertations, and Projects
dc.subject.classification ET:004872 AUBNO
dc.subject.lcsh Speech perception
dc.subject.lcsh Neural networks (Computer science)
dc.title Improving training of neural networks for speech recognition - by Caroline Elie Jabra Alagha
dc.type Thesis
dc.contributor.department American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering


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