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Memorias de investigación
Communications at congresses:
Using Dialogue-Based Dynamic Language Models for Improving Speech Recognition
Year:2009
Research Areas
  • Artificial intelligence,
  • Electronic circuits,
  • Electronic devices
Information
Abstract
We present a new approach to dynamically create and manage different language models to be used on a spoken dialogue system. We apply an interpolation based approach, using several measures obtained by the Dialogue Manager to decide what LM the system will interpolate and also to estimate the interpolation weights. We propose to use not only semantic information (the concepts extracted from each recognized utterance), but also information obtained by the dialogue manager module (DM), that is, the objectives or goals the user wants to fulfill, and the proper classification of those concepts according to the inferred goals. The experiments we have carried out show improvements over word error rate when using the parsed concepts and the inferred goals from a speech utterance for rescoring the same utterance. Index Terms: spoken dialogue systems, dynamic language modeling, automatic speech recognition.
International
Si
Congress
10th Annual Conference of the International Speech Communication Association, Interspeech 2009
960
Place
Brighton UK
Reviewers
Si
ISBN/ISSN
1990-9772
Start Date
06/09/2009
End Date
10/09/2009
From page
2471
To page
2474
Proceedings of 10th Annual Conference of the International Speech Communication Association, Interspeech 2009
Participants
  • Autor: Juan Manuel Lucas Cuesta (UPM)
  • Autor: Fernando Fernandez Martinez (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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