Automatically predicting dialogue structure using prosodic features

Helen Wright Hastie*, Massimo Poesio, Steven Isard

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Spoken dialogue systems need to track dialogue structure in order to conduct sensible conversations. In previous work, we used only a shallow analysis of past dialogue in predicting the current dialogue act. Here we show that a hierarchical analysis of dialogue structure can significantly improve dialogue act recognition. Our approach is to integrate dialogue act recognition with speech recognition, seeking a best overall hypothesis for what words have been spoken and what dialogue act they represent, in the light of both the dialogue history so far and the current speech signal. A useful feature of this approach is that intonation can be used to aid dialogue act recognition by combining it with other information sources in a natural way.
Original languageEnglish
Pages (from-to)63–79
JournalSpeech Communication
Issue number1-2
Publication statusPublished - 1 Jan 2002

Keywords / Materials (for Non-textual outputs)

  • prosody
  • intonation
  • duration
  • dialogue acts
  • moves
  • games
  • discourse function
  • prediction
  • recognition


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