Paper: Dependencies Between Student State And Speech Recognition Problems In Spoken Tutoring Dialogues

ACL ID P06-1025
Title Dependencies Between Student State And Speech Recognition Problems In Spoken Tutoring Dialogues
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

Speech recognition problems are a reality in current spoken dialogue systems. In order to better understand these phenom- ena, we study dependencies between speech recognition problems and several higher level dialogue factors that define our notion of student state: frustra- tion/anger, certainty and correctness. We apply Chi Square (χ2) analysis to a cor- pus of speech-based computer tutoring dialogues to discover these dependencies both within and across turns. Significant dependencies are combined to produce interesting insights regarding speech rec- ognition problems and to propose new strategies for handling these problems. We also find that tutoring, as a new do- main for speech applications, exhibits in- teresting tradeoffs and new factors to consider for spoken dialogue design.