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Memorias de investigación
Artículos en revistas:
On the dynamic adaptation of language models based on dialogue information
Año:2012
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
We present an approach to adapt dynamically the language models (LMs) used by a speech recognizer that is part of a spoken dialogue system. We have developed a grammar generation strategy that automatically adapts the LMs using the semantic information that the user provides (represented as dialogue concepts), together with the information regarding the intentions of the speaker (inferred by the dialogue manager, and represented as dialogue goals). We carry out the adaptation as a linear interpolation between a background LM, and one or more of the LMs associated to the dialogue elements (concepts or goals) addressed by the user. The interpolation weights between those models are automatically estimated on each dialogue turn, using measures such as the posterior probabilities of concepts and goals, estimated as part of the inference procedure to determine the actions to be carried out. We propose two approaches to handle the LMs related to concepts and goals. Whereas in the first one we estimate a LM for each one of them, in the second one we apply several clustering strategies to group together those elements that share some common properties, and estimate a LM for each cluster. Our evaluation shows how the system can estimate a dynamic model adapted to each dialogue turn, which helps to improve the performance of the speech recognition (up to a 14.82% of relative improvement), which leads to an improvement in both the language understanding and the dialogue management tasks.
Internacional
Si
JCR del ISI
Si
Título de la revista
Expert Systems With Applications
ISSN
0957-4174
Factor de impacto JCR
2,203
Información de impacto
Datos JCR del año 2011
Volumen
DOI
10.1016/j.eswa.2012.08.029
Número de revista
Desde la página
1069
Hasta la página
1085
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Juan Manuel Lucas Cuesta (UPM)
  • Autor: Javier Ferreiros Lopez (UPM)
  • Autor: Fernando Fernandez Martinez (UPM)
  • Autor: Julian David Echeverry Correa (UPM)
  • Autor: Syaheerah Binti Lebai Lutfi (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Ingeniería Electrónica
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