CASRA. (c2005)

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dc.contributor.author Ariss, Omar Aref El-
dc.date.accessioned 2011-10-18T08:42:28Z
dc.date.available 2011-10-18T08:42:28Z
dc.date.copyright 2005 en_US
dc.date.issued 2011-10-18
dc.date.submitted 2005-05
dc.identifier.uri http://hdl.handle.net/10725/810
dc.description Includes bibliographical references (leaves 64-66). en_US
dc.description.abstract Although there was, and still continues, extensive research and advancements in speech recognition on English language, there has been little research done on Arabic language. In addition, most of the research done is either for the standard Arabic language or the Egyptian colloquial language. Commercial applications related to this field are mostly based on telephony technology. In this thesis, the implementation of a Lebanese colloquial Arabic discrete speech recognition is described. According to our knowledge, the thesis proposed here is the first attempt to implement a speech recognition system for the Lebanese colloquial Arabic language. en_US
dc.language.iso en en_US
dc.subject Arabic language -- Dialects -- Lebanon en_US
dc.subject Automatic speech recognition en_US
dc.subject Human-computer interaction en_US
dc.subject Speech processing systems en_US
dc.title CASRA. (c2005) en_US
dc.type Thesis en_US
dc.title.subtitle Colloquial arabic speech recognition application en_US
dc.term.submitted Spring en_US
dc.author.degree MS in Computer Science en_US
dc.author.school Arts and Sciences en_US
dc.author.idnumber 199803210 en_US
dc.author.commembers Dr. Nashat Mansour
dc.author.commembers Dr. Faisal Abu Khzam
dc.author.woa OA en_US
dc.description.physdesc 1 bound copy: ix, 68 leaves; ill. (some col.); 30 cm. available at RNL. en_US
dc.author.division Computer Science en_US
dc.author.advisor Dr. Ramzi A. Haraty
dc.identifier.doi https://doi.org/10.26756/th.2005.47 en_US
dc.publisher.institution Lebanese American University en_US

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