Help me understand you: Addressing the speech recognition bottleneck

AAAI Spring Symposium - Technical Report

Volumn SS-09-01, Issue , 2009, Pages 119-126

  Passonneau, Rebecca J ^a   Epstein, Susan L ^b   Gordon, Joshua B ^c  

^a Howard Hughes Medical Institute   (United States)

^b CITY UNIVERSITY OF NEW YORK   (United States)

^c Fu Foundation School of Engineering and Applied Science   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; DIALOG SYSTEMS; HUMAN CAPABILITY; LONG-TERM GOALS; PARTIAL MATCHES; PILOT EXPERIMENT; PILOT TASKS; SYSTEM FUNCTIONALITY; VERY LARGE DATABASE; WIZARD OF OZ;

ERROR DETECTION; KNOWLEDGE MANAGEMENT; SPEECH RECOGNITION; TEACHING;

HUMAN COMPUTER INTERACTION;

EID: 70350492539     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Carnegie Mellon University Speech Group. 2008. The Lo-gios Tool. https://cmusphinx.svn.sourceforge.net/svnroot/cmusphinx/trunk/logios
2. Ai, H. and D. J. Litman 2006. Comparing Real-Real, Simulated-Simulated, and Simulated-Real Spoken Dialogue Corpora. In Proceedings ofAAAI Workshop Statistical and Empirical Approaches for Spoken Dialogue Systems, Boston, USA.
3. Bohus, D. 2004. Error Awareness and Recovery in Task-Oriented Spoken Dialogue Systems. Pittsburgh, PA, Carnegie Mellon University.
4. Bohus, D., A. Raux, T. K. Harris, M. Eskenazi and A. I. Rudnicky 2007. Olympus: an open-source framework for conversational spoken language interface research. In Proceedings of Bridging the Gap: Academic and Industrial Research in Dialog Technology workshop at HLT/NAACL 2007.
5. Bohus, D. and A. I. Rudnicky 2003. RavenClaw: Dialog Management Using Hierarchical Task Decomposition and an Expectation Agenda. In Proceedings of Euros-peech 2003.
6. Griol, D., L. F. Hurtado, E. Segarra and E. Sanchis 2008. Acquisition and evaluation of a dialog corpus through WOz and dialog simulation techniques. In Proceedings of Conference on Language Resources and Evaluation (LREC) 2008.
7. Group, C. M. U. S. 2008. The Logios Tool.
8. Levenshtein, A. 1996. Binary codes capable of correcting deletions, insertions and reversals. Soviet Physics Dok-lady 10(8): 707-710.
9. Levin, E. and R. Passonneau 2006. A WOz variant with contrastive conditions. In Proceedings of Interspeech Satellite Workshop, Dialogue on Dialogues: Multidiscipli-nary Evaluation of Speech-based Interactive Systems, Pittsburgh, PA.
10. Levin, E., R. Pieraccini and W. Eckert 2000. A Stochastic Model of Human-Machine Interaction for Learning Dialog Strategies. IEEE Trans, on Speech and Audio Processing 8(1): 11-23.
11. Schatzmann, J., K. Georgila and S. Young 2005. Quantitative Evaluation of User Simulation Techniques for Spoken Dialogue Systems.,. In Proceedings of SIGDial Workshop' 05, 45-54. Lisbon, Portugal.
12. Scheffler, K. and S. J. Young 2002. Automatic learning of dialogue strategy using dialogue simulation and reinforcement learning. In Proceedings of HLT 2002, San Diego, USA.
13. Skantze, G. 2003. Exploring human error handling strategies: Implications for spoken dialogue systems. In Proceedings of Error Handling in Spoken Language Dialogue Systems, International Speech Communication Association.
14. Tetreault, J. R., D. Bohus and D. J. Litman 2007. Estimating the Reliability of MDP Policies: A Confidence Interval Approach. In Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT), Rochester, NY.
15. Torres, F., E. Sanchis and E. Segarra 2003. Development of a stochastic dialog manager driven by semantics In Proceedings of Euro Speech '03, 605-608.
16. Young, S. 2002. The Statistical Approach to the Design of Spoken Dialogue Systems., Cambridge University Engineering Department.
17. Zollo, T. 1999. A study of human dialog strategies in the presence of human recognition errors. In Proceedings of AAAI Fall Symposium on Psychological Models of Communication in Collaborative Systems.