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 |