Discovering Cues to Error Detection in Speech Recognition Output: A User-Centered Approach

Author:

ZHOU LINA1,SHI YONGMEI1,ZHANG DONGSONG1,SEARS ANDREW1

Affiliation:

1. a Baltimore County

Publisher

Informa UK Limited

Subject

Information Systems and Management,Management Science and Operations Research,Computer Science Applications,Management Information Systems

Reference51 articles.

1. Anderberg, M.R. Cluster Analysis for Applications. New York: Academic Press, 1973.

2. Arnold, S.C.; Mark, L.; and Goldthwaite, J. Programming by voice, VocalProgramming. In M. Tremaine, E. Cole, and E. Mynatt (eds.), Proceedings of the Fourth International ACM Conference on Assistive Technologies. New York: ACM Press, 2000, pp. 149-155.

3. Bain, K.; Basson, S.H.; and Wald, M. Speech recognition in university classrooms: Liberated learning project. In V.L. Hanson and J.A. Jacko (eds.), Proceedings of the Fifth International ACM Conference on Assistive Technologies. New York: ACM Press, 2002, pp. 192-196.

4. Brill, E.; Florian, R.; Henderson, J.C.; and Mangu, L. Beyond n-grams: Can linguistic sophistication improve language modeling? In C. Boitet and P. Whitelock (eds.), Proceedings of the Thirty-Sixth Annual Meeting on Association for Computational Linguistics. Morristown, NJ: Association for Computational Linguistics, 1998, pp. 186-190.

5. Carpenter, P.; Jin, C.; Wilson, D.; Zhang, R.; Bohus, D.; and Rudnicky, A.I. Is this conversation on track? In P. Dalsgaard, B. Lindberg, H. Benner, and Z. Tan (eds.), Proceedings of the Seventh European Conference on Speech Communication and Technology. Bonn, Germany: International Speech Communication Association, 2001, pp. 2121-2124.

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