Show simple item record

dc.contributor.authorTaylor, Paul A
dc.contributor.authorKing, Simon
dc.contributor.authorIsard, Stephen
dc.contributor.authorWright, Helen
dc.contributor.authorKowtko, Jacqueline C
dc.date.accessioned2006-06-09T15:40:02Z
dc.date.available2006-06-09T15:40:02Z
dc.date.issued1997
dc.identifier.citationIn Proc. Eurospeech'97, Rhodes, 1997.en
dc.identifier.urihttp://hdl.handle.net/1842/1213
dc.description.abstractThis 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.en
dc.format.extent157218 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherInternational Speech Communication Associationen
dc.titleUsing intonation to constrain language models in speech recognition.en
dc.typeConference Paperen


Files in this item

This item appears in the following Collection(s)

Show simple item record