Paper: Characterizing and Recognizing Spoken Corrections in Human-Computer Dialogue

ACL ID P98-1122
Title Characterizing and Recognizing Spoken Corrections in Human-Computer Dialogue
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1998
Authors

Miscommunication in speech recognition sys- tems is unavoidable, but a detailed character- ization of user corrections will enable speech systems to identify when a correction is taking place and to more accurately recognize the con- tent of correction utterances. In this paper we investigate the adaptations of users when they encounter recognition errors in interactions with a voice-in/voice-out spoken language system. In analyzing more than 300 pairs of original and re- peat correction utterances, matched on speaker and lexical content, we found overall increases in both utterance and pause duration from orig- inal to correction. Interestingly, corrections of misrecognition errors (CME) exhibited signifi- cantly heightened pitch variability, while cor- rections of rejection errors (CRE) ...