CASRA. (c2005)

Ariss, Omar Aref El-

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