The VoiceApp System: Speech Technologies to Access the Semantic Web
Editorial:
Springer
Fecha de edición:
2011
Cita:
Lozano, José A. et al. (eds.), 2011. Advances in Artificial Intelligence: 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, La Laguna, Spain, November 7-11, 2011. Proceedings (Lecture Notes in Computer Science, 7023), Springer, pp. 393-402.
ISBN:
978-3-642-25273-0 (print)
978-3-642-25274-7 (online)
ISSN:
0302-9743 (print)
1611-3349 (online)
DOI:
10.1007/978-3-642-25274-7_40
Agradecimientos:
Research funded by projects CICYT TIN 2008-06742-C02-02/TSI, CICYT TEC 2008-06732-C02-02/TEC, CAM CONTEXTS (S2009/TIC-1485), and DPS 2008-07029-C02-02.
Serie/Num.:
Lecture Notes in Computer Science
7023
Proyecto:
Comunidad de Madrid. S2009/TIC-1485/CONTEXTS
Palabras clave:
Dialog Systems
,
Multimodality
,
VoiceXML
,
XHTML+Voice
,
Web Interfaces
,
Speech Interaction
Derechos:
© 2011 Springer-Verlag Berlin Heidelberg
Resumen:
Maximizing accessibility is not always the main objective in the design of web applications, specially if it is concerned with facilitating access for disabled people. In this paper we present the VoiceApp
multimodal dialog system, which enables to access and
Maximizing accessibility is not always the main objective in the design of web applications, specially if it is concerned with facilitating access for disabled people. In this paper we present the VoiceApp
multimodal dialog system, which enables to access and browse Internet by means of speech. The system consists of several modules that provide different user experiences on the web. Voice Dictionary allows the
multimodal access to the Wikipedia encyclopedia, Voice Pronunciations has been developed to facilitate the learning of new languages by means of games with words and images, whereas Voice Browser provides a fast
and effective multimodal interface to the Google web search engine. All the applications in the system can be accessed multimodally using traditional graphic user interfaces such as keyboard and mouse, and/or by
means of voice commands. Thus, the results are accessible also for motorhandicapped and visually impaired users and are easier to access by any user in small hand-held devices where graphical interfaces are in some
cases difficult to employ.
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Nota:
Proceedings of: 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, La Laguna, Spain, November 7-11, 2011
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