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

Lucas Cuesta, Juan Manuel and Fernández Martínez, Fernando and Moreno Solera, Tirso and Ferreiros López, Javier (2012). Mutual Information and Perplexity based Clustering of Dialogue Information for Dynamic Adaptation of Language Models. In: "Iberspeech2012 (VII Jornadas en Tecnología del Habla and III Iberian SLTech Workshop)", 21/11/2012 - 23/11/2012, Madrid (Spain). ISBN 978-3-642-35292-8. pp. 148-157.

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
  • Moreno Solera, Tirso
  • Ferreiros López, Javier
Item Type: Presentation at Congress or Conference (Article)
Event Title: Iberspeech2012 (VII Jornadas en Tecnología del Habla and III Iberian SLTech Workshop)
Event Dates: 21/11/2012 - 23/11/2012
Event Location: Madrid (Spain)
Title of Book: Advances in Speech and Language Technologies for Iberian Languages
Date: 21 November 2012
ISBN: 978-3-642-35292-8
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: 20289
DC Identifier: http://oa.upm.es/20289/
OAI Identifier: oai:oa.upm.es:20289
Official URL: http://link.springer.com/chapter/10.1007%2F978-3-642-35292-8_16
Deposited by: Memoria Investigacion
Deposited on: 01 Oct 2013 17:09
Last Modified: 21 Apr 2016 23:02
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