Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Mutual Information and Perplexity based Clustering of Dialogue Information for Dynamic Adaptation of Language Models
Year:2012
Research Areas
  • Artificial intelligence
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
JCR
No
Title
Springer Communications in Computer and Information Science (CCIS)
ISBN
1865-0929
Impact factor JCR
Impact info
Volume
328
Journal number
From page
148
To page
157
Month
SIN MES
Ranking
Participants
  • Autor: Juan Manuel Lucas Cuesta (UPM)
  • Autor: Fernando Fernandez Martinez (UPM)
  • Autor: Tirso Moreno Solera
  • 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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