Flexible mixed-initiative dialogue management using concept-level confidence measures of speech recognizer output

Authors:
Kazunori Komatani;Tatsuya Kawahara
Affiliations:
Kyoto University, Kyoto, Japan;Kyoto University, Kyoto, Japan
Venue:
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Year:
2000

Citing 2
Cited 12

Automatic detection of poor speech recognition at the dialogue level

ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Incorporating confidence measures in the Dutch train timetable information system developed in the ARISE project

ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01

Evaluating discourse understanding in spoken dialogue systems

ACM Transactions on Speech and Language Processing (TSLP)
User Modeling in Spoken Dialogue Systems to Generate Flexible Guidance

User Modeling and User-Adapted Interaction
Efficient dialogue strategy to find users' intended items from information query results

COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Flexible guidance generation using user model in spoken dialogue systems

ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Efficient confirmation strategy for large-scale text retrieval systems with spoken dialogue interface

COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Error handling in the RavenClaw dialog management framework

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A speech understanding framework that uses multiple language models and multiple understanding models

NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
A hierarchical multiple recognizer for robust speech understanding

PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Bus information system based on user models and dynamic generation of VoiceXML scripts

JSAI'03/JSAI04 Proceedings of the 2003 and 2004 international conference on New frontiers in artificial intelligence
Expansion of WFST-based dialog management for handling multiple ASR hypotheses

IWSDS'10 Proceedings of the Second international conference on Spoken dialogue systems for ambient environments
Online error detection of barge-in utterances by using individual users' utterance histories in spoken dialogue system

SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Automatic allocation of training data for rapid prototyping of speech understanding based on multiple model combination

COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters

Quantified Score

Hi-index	0.01

Visualization

Abstract

We present a method to realize flexible mixed-initiative dialogue, in which the system can make effective confirmation and guidance using concept-level confidence measures (CMs) derived from speech recognizer output in order to handle speech recognition errors. We define two concept-level CMs, which are on content-words and on semantic-attributes, using 10-best outputs of the speech recognizer and parsing with phrase-level grammars. Content-word CM is useful for selecting plausible interpretations. Less confident interpretations are given to confirmation process. The strategy improved the interpretation accuracy by 11.5%. Moreover, the semantic-attribute CM is used to estimate user's intention and generates system-initiative guidances even when successful interpretation is not obtained.