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A proposal for the development of adaptive spoken interfaces to access the Web

Authors :
Zoraida Callejas
José M. Molina
David Griol
Source :
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid, instname
Publication Year :
2015
Publisher :
Elsevier BV, 2015.

Abstract

Spoken dialog systems have been proposed as a solution to facilitate a more natural human–machine interaction. In this paper, we propose a framework to model the user׳s intention during the dialog and adapt the dialog model dynamically to the user needs and preferences, thus developing more efficient, adapted, and usable spoken dialog systems. Our framework employs statistical models based on neural networks that take into account the history of the dialog up to the current dialog state in order to predict the user׳s intention and the next system response. We describe our proposal and detail its application in the Let׳s Go spoken dialog system. Work partially supported by Projects MINECO TEC2012-37832- C02-01, CICYT TEC2011-28626-C02-02, CAM CONTEXTS (S2009/ TIC-1485)

Details

ISSN :
09252312
Volume :
163
Database :
OpenAIRE
Journal :
Neurocomputing
Accession number :
edsair.doi.dedup.....91bd3a41c54c5a52cbdccef01a452da2
Full Text :
https://doi.org/10.1016/j.neucom.2014.09.087