Incorporating discourse features into confidence scoring of intention recognition results in spoken dialogue systems

Speech Communication

Volumn 48, Issue 3-4, 2006, Pages 417-436

  Higashinaka, Ryuichiro ^a   Sudoh, Katsuhito ^a   Nakano, Mikio ^a,b  

^a NTT Communication Science Laboratories   (Japan)

^b HONDA RESEARCH INSTITUTE JAPAN CO LTD   (Japan)

Author keywords

Confidence scoring; Discourse understanding; Speech understanding; Spoken dialogue systems

Indexed keywords

SPEECH RECOGNITION;

CONFIDENCE SCORING; SPEECH UNDERSTANDING; SPOKEN DIALOG SYSTEM;

SPEECH COMMUNICATION;

EID: 32144463810     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2005.06.011     Document Type: Article

References (40)

1. Abdou, S., Scordilis, M., 2001. Integrating multiple knowledge sources for improved speech understanding. In: Proc. Eurospeech, pp. 1783-1786.
2. Allen, J., Ferguson, G., Stent, A., 2001. An architecture for more realistic conversational systems. In: Proc. IUI, pp. 1-8.
3. Ammicht, E., Potamianos, A., Fosler-Lussier, E., 2001. Ambiguity representation and resolution in spoken dialogue systems. In: Proc. Eurospeech, pp. 2217-2220.
4. Baggia, P., Rullent, C., 1993. Partial parsing as a robust parsing strategy. In: Proc. ICASSP, Vol. 2, pp. 123-126.
5. F. Béchet, A.L. Gorin, J.H. Wright, and D. Hakkani-Tür Detecting and extracting named entities from spontaneous speech in a mixed-initiative spoken dialogue context: how may I help you? Speech Comm. 42 2004 207 225
6. D.G. Bobrow, R.M. Kaplan, M. Kay, D.A. Norman, H. Thompson, and T. Winograd GUS, a frame driven dialog system Artif. Intell. 8 1977 155 173
7. Chu-Carroll, J., 2000. MIMIC: An adaptive mixed initiative spoken dialogue system for information queries. In: Proc. 6th Applied NLP, pp. 97-104.
8. A. Corazza, R.D. Mori, R. Gretter, and G. Satta Computation of probabilities for an island-driven parser IEEE Trans. Pattern Anal. Machine Intell. 13 9 1991 936 950
9. Dohsaka, K., Yasuda, N., Aikawa, K., 2003. Efficient spoken dialogue control depending on the speech recognition rate and system's database. In: Proc. Eurospeech, pp. 657-660.
10. Endo, T., Ward, N., Terada, M., 2002. Can confidence scores help users post-editing speech recognizer output? In: Proc. ICSLP, pp. 1469-1472.
11. Filisko, E.A., 2002. A context resolution server for the GALAXY conversational systems. Master's thesis, Massachusetts Institute of Technology.
12. J. Foote, S. Young, G. Jones, and K.S. Jones Unconstrained keyword spotting using phone lattices with application to spoken document retrieval Comput. Speech Language 11 1997 207 224
13. Gillick, L., Cox, S., 1989. Some statistical issues in the comparison of speech recognition algorithms. In: Proc. ICASSP, Vol. 1, pp. 532-535.
14. Goddeau, D., Meng, H., Polifroni, J., Seneff, S., Busayapongchai, S., 1996. A form-based dialogue manager for spoken language applications. In: Proc. ICSLP, pp. 701-704.
15. H.P. Grice Logic and conversation P. Cole J. Morgan Syntax and Semantics 3: Speech Acts 1975 Academic Press New York 41 58
16. Hacioglu, K., Ward, W., 2002. A concept graph based confidence measure. In: Proc. ICASSP, Vol. 1, pp. 225-228.
17. T.J. Hazen, S. Seneff, and J. Polifroni Recognition confidence scoring and its use in speech understanding systems Comput. Speech Language 16 2002 49 67
18. Higashinaka, R., Miyazaki, N., Nakano, M., Aikawa, K., 2003a. Evaluating discourse understanding in spoken dialogue systems. In: Proc. Eurospeech, pp. 1941-1944.
19. R. Higashinaka, N. Miyazaki, M. Nakano, and K. Aikawa Evaluating discourse understanding in spoken dialogue systems. ACM Trans Speech and Language Process. 1 1 2004 1 20
20. Higashinaka, R., Nakano, M., Aikawa, K., 2003b. Corpus-based discourse understanding in spoken dialogue systems. In: Proc. 41st ACL, pp. 240-247.
21. Higashinaka, R., Sudoh, K., Nakano, M., 2005. Incorporating discourse features into confidence scoring of intention recognition results in spoken dialogue systems. In: Proc. ICASSP,Vol. 1, pp. 25-28.
22. J. Hirschberg, D. Litman, and M. Swerts Prosodic and other cues to speech recognition failures Speech Comm. 43 2004 155 175
23. Huang, J., Zweig, G., Padmanabhan, M., 2001. Information extraction from voicemail. In: Proc. 39th ACL, pp. 290-297.
24. Komatani, K., Kawahara, T., 2000. Flexible mixed-initiative dialogue management using concept-level confidence measures of speech recognizer output. In: Proc. 18th COLING, Vol. 1, pp. 467-473.
25. R. Kuhn, and R.D. Mori The application of semantic classification trees to natural language understanding IEEE Trans. Pattern Anal. Machine Intell. 17 5 1995 449 460
26. Lee, A., Kawahara, T., Shikano, K., 2001. Julius-an open source real-time large vocabulary recognition engine. In: Proc. Eurospeech, pp. 1691-1694.
27. Lin, Y.-C., Wang, H.-M., 2001. Probabilistic concept verification for language understanding in spoken dialogue systems. In: Proc. Eurospeech, pp. 1049-1052.
28. Macherey, K., Och, F.J., Ney, H., 2001. Natural language understanding using statistical machine translation. In: Proc. Eurospeech, pp. 2205-2208.
29. Miyazaki, N., Nakano, M., Aikawa, K., in press. Spoken dialogue understanding using an incremental speech understanding method. Systems Comput. Jpn.
30. Pellom, B., Ward, W., Pradhan, S., 2000. The CU Communicator: an architecture for dialogue systems. In: Proc. ICSLP, Vol. 2, pp. 723-726.
31. Potamianos, A., Kuo, H.-K.J., 2000. Statistical recursive finite state machine parsing for speech understanding. In: Proc. ICSLP, Vol. 3, pp. 510-513.
32. M. Powell An efficient method of finding the minimum of a function of several variables without calculating derivatives Comput. J. 7 2 1964 155 162
33. Pradhan, S.S., Ward, W.H., 2002. Estimating semantic confidence for spoken dialog systems. In: Proc. ICASSP, Vol. 1, pp. 233-236.
34. M.G. Rahim, C.-H. Lee, and B.-H. Juang Discriminative utterance verification for connected digits recognition IEEE Trans. Speech Audio Process. 5 3 1997 266 277
35. C. Rich, C. Sidner, and N. Lesh COLLAGEN: applying collaborative discourse theory AI Magazine 22 4 2001 15 25
36. Seneff, S., 1992. Robust parsing for spoken language systems. In: Proc. ICASSP, Vol. 1, pp. 23-26.
37. S. Seneff Response planning and generation in the mercury flight reservation system Comput. Speech Language 16 3-4 2002 283 312
38. S. Singh, D. Litman, M. Kearns, and M. Walker Optimizing dialogue management with reinforcement learning: experiments with the NJFun system J. Artif. Intell. Res. 16 2002 105 133
39. S. Takano, K. Tanaka, H. Mizuno, M. Abe, and S. Nakajima A Japanese TTS system based on multi-form units and a speech modification algorithm with harmonics reconstruction IEEE Trans. Speech Audio Process. 9 1 2001 3 10
40. F. Wessel, R. Schlüter, K. Macherey, and H. Ney Confidence measures for large vocabulary continuous speech recognition IEEE Trans. Speech Audio Process. 9 3 2001 288 298