Ghigi, F.; Torres Barañano, I.; Justo, R.; Benedí Ruiz, JM. (2013). Evaluating Spoken Dialogue Models under the Interactive Pattern Recognition Framework. ISCA. The International Speech Communication Association. http://hdl.handle.net/10251/75164
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/75164
Title:
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Evaluating Spoken Dialogue Models under the Interactive Pattern Recognition Framework
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Author:
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Ghigi, Fabrizio
Torres Barañano, Ines
Justo, Raquel
Benedí Ruiz, José Miguel
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UPV Unit:
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Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
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Issued date:
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Abstract:
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[EN] The new Interactive Pattern Recognition (IPR) framework has
been proposed to deal with human-machine interaction. In this
context a new formulation has been recently defined to represent
a Spoken Dialogue System ...[+]
[EN] The new Interactive Pattern Recognition (IPR) framework has
been proposed to deal with human-machine interaction. In this
context a new formulation has been recently defined to represent
a Spoken Dialogue System as an IPR problem. In this work this
formulation is applied to define graphical models that deal with
Spoken Dialogue Systems. The definition of both a Dialogue
Manager and a User Model are shown and the estimation of
the parameters and smoothing techniques are presented in the
paper. These models were evaluated in a dialogue generation
task on two very different corpora: Dihana corpus consisting
of Spanish spoken dialogues acquired with the Wizard of Oz
technique and Let’s Go corpus consisting of spoken dialogues
in English between real users and the Ravenclaw dialogue manager
developed by CMU. The results obtained show that original
and simulated dialogues exhibited very similar behaviours,
thus demonstrating the learning capacity of the proposed models
in both a controlled Wizard of Oz task and a spoken dialogue
system that interacts with real users. This formulation can then
be considered as a promising framework to deal with Spoken
Dialogue Systems.
[-]
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Subjects:
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Spoken dialogue
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Pattern recognition
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Copyrigths:
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Reserva de todos los derechos
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Source:
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Publisher:
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ISCA. The International Speech Communication Association.
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Publisher version:
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http://www.isca-speech.org/archive/interspeech_2013/i13_1771.html
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Conference name:
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14th Annual Conference of the International Speech Communication Association (INTERSPEECH 2013)
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Conference place:
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Lyon, France
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Conference date:
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August 25-29, 2013
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Project ID:
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info:eu-repo/grantAgreement/MICINN//TIN2011-28169-C05-04/ES/TIMPANO TECNOLOGIA PARA LA INTERACCION CONVERSACIONAL COMPLEJA PERSONA-MAQUINA CON APRENDIZAJE DINAMICO/
info:eu-repo/grantAgreement/Eusko Jaurlaritza//IT685-13/
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Thanks:
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Work supported by Spanish Ministry of Science under TIN2011-28169-C05-04 and by Basque Government under grant IT685-13.
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Type:
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Comunicación en congreso
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