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Memorias de investigación
Communications at congresses:
Mutual Information and Perplexity based Clustering of Dialogue Information for Dynamic Adaptation of Language Models
Year:2012
Research Areas
  • Electronic technology and of the communications,
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
We present two approaches to cluster dialogue-based information obtained by the speech understanding module and the dialogue manager of a spoken dialogue system. The purpose is to estimate a language model related to each cluster, and use them to dynamically modify the model of the speech recognizer at each dialogue turn. In the first approach we build the cluster tree using local decisions based on a Maximum Normalized Mutual Information criterion. In the second one we take global decisions, based on the optimization of the global perplexity of the combination of the cluster-related LMs. Our experiments show a relative reduction of the word error rate of 15.17%, which helps to improve the performance of the understanding and the dialogue manager modules.
International
Si
Congress
Iberspeech2012 (VII Jornadas en Tecnología del Habla and III Iberian SLTech Workshop)
960
Place
Madrid (Spain)
Reviewers
Si
ISBN/ISSN
84-616-1535-2
Start Date
21/11/2012
End Date
23/11/2012
From page
148
To page
157
Iberspeech2012 (VII Jornadas en Tecnología del Habla and III Iberian SLTech Workshop)
Participants
  • Autor: Juan Manuel Lucas Cuesta (UPM)
  • Autor: Fernando Fernandez Martinez (UPM)
  • Autor: Tirso Moreno (UPM)
  • Autor: Javier Ferreiros Lopez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica
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