Mutual Information and Perplexity based Clustering of Dialogue Information for Dynamic Adaptation of Language Models

Lucas Cuesta, Juan Manuel and Fernández Martínez, Fernando and Ferreiros López, Javier and Moreno Solera, Tirso (2012). Mutual Information and Perplexity based Clustering of Dialogue Information for Dynamic Adaptation of Language Models. "Springer Communications in Computer and Information Science (CCIS)", v. 328 ; pp. 148-157. ISSN 1865-0929.

Description

Title: Mutual Information and Perplexity based Clustering of Dialogue Information for Dynamic Adaptation of Language Models
Author/s:
  • Lucas Cuesta, Juan Manuel
  • Fernández Martínez, Fernando
  • Ferreiros López, Javier
  • Moreno Solera, Tirso
Item Type: Article
Título de Revista/Publicación: Springer Communications in Computer and Information Science (CCIS)
Date: 21 November 2012
ISSN: 1865-0929
Volume: 328
Subjects:
Freetext Keywords: spoken dialogue system, language models, dialogue based information, clustering
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 15206
DC Identifier: http://oa.upm.es/15206/
OAI Identifier: oai:oa.upm.es:15206
Official URL: http://link.springer.com/chapter/10.1007%2F978-3-642-35292-8_16#page-1
Deposited by: Memoria Investigacion
Deposited on: 03 Jun 2013 17:05
Last Modified: 21 Apr 2016 15:12
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