dc.contributor.author |
Wouhaybi, Rita Hanna |
dc.date.accessioned |
2012-06-13T06:43:22Z |
dc.date.available |
2012-06-13T06:43:22Z |
dc.date.issued |
1996 |
dc.identifier.uri |
http://hdl.handle.net/10938/5229 |
dc.description |
Thesis (M.E.)--American University of Beirut. Department of Electrical and Computer Engineering, 1996.;"Advisor: Dr. M. Adrian Al-Alaoui, Professor, Electrical and Computer Engineering – Members of Committee: Dr. Karim Kabalan, Associate Professor, Electr |
dc.description |
Bibliography: leaves 86-91. |
dc.description.abstract |
With the emergence of more digital security systems and the use of mor e passwords on automated machines, the idea of speaker recognition seems to be a more difficult password to be imitated In addition, the speaker recognition ma\ have several applicatio |
dc.format.extent |
xiv, 91 leaves : ill. cm. |
dc.language.iso |
eng |
dc.relation.ispartof |
Theses, Dissertations, and Projects |
dc.subject.classification |
ET:003712 AUBNO |
dc.subject.lcsh |
Speech perception. |
dc.subject.lcsh |
Automatic speech recognition. |
dc.subject.lcsh |
Neural networks (Computer science). |
dc.title |
Speaker recognition using neural networks. - by Rita Hanna Wouhaybi |
dc.type |
Thesis |
dc.contributor.department |
American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering |