Using Intonation to Constrain Language Models in Speech Recognition

Paul Taylor, Simon King, Stephen Isard, Helen Wright, Jacqueline Kowtko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This paper describes a method for using intonation to reduce word error rate in a speech recognition system designed to recognise spontaneous dialogue speech. We use a form of dialogue analysis based on the theory of conversational games. Different move types under this analysis conform to different language models. Different move types are also characterised by different intonational tunes. Our overall recognition strategy is first to predict from intonation the type of game move that a test utterance represents, and then to use a bigram language model for that type of move during recognition. point in a game.
Original languageEnglish
Title of host publicationProc. Eurospeech'97
Subtitle of host publication5th European Conference on Speech Communication and Technology
PublisherInternational Speech Communication Association
Pages2763-2766
Number of pages4
ISBN (Print)ISSN: 1990-9772
Publication statusPublished - 1997

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