DocumentCode
2539836
Title
Tools evaluation for speech recognition based on domain ontologies over the
Author
Platform, A. ; Orlando, M.P.F. ; Andrea, C.A.E. ; Marcela, F.I.D.
Author_Institution
Grupo de Ing. Telematica, Univ. del Cauca, Popayan, Colombia
fYear
2012
fDate
16-18 May 2012
Firstpage
1
Lastpage
6
Abstract
Speech recognition is a natural way of interaction between people and mobile devices. However, the inclusion of all vocabulary variants for a specific language may be tricky and expensive on processing terms; also voice training is not appreciated by most of users. Speech recognition matters have been addressed from several ways, even including artificial intelligence concepts as recent IPhone Siri system, but most of them are proprietary solutions. This paper explores other research alternatives related with the use of domain ontologies to restrict the vocabulary to the application context and assist the speech recognition process. Specifically, a first approach is given by evaluating the most important components involved on the speech recognition process based on domain ontologies, using open source tools over Android platform.
Keywords
mobile computing; mobile handsets; ontologies (artificial intelligence); speech recognition; vocabulary; Android platform; IPhone Siri system; domain ontology; mobile device; open source tool; speech recognition; tools evaluation; vocabulary variant; voice training; Androids; Humanoid robots; Java; Media; OWL; Silicon; Speech recognition; Context grammar; domain ontology; mobile computing; speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications Conference (COLCOM), 2012 IEEE Colombian
Conference_Location
Cali
Print_ISBN
978-1-4673-1267-7
Type
conf
DOI
10.1109/ColComCon.2012.6233653
Filename
6233653
Link To Document