Bayes-based confidence measure in speech recognition

IEEE Signal Processing Letters

Volumn 12, Issue 11, 2005, Pages 745-748

  Yoma, Néstor Becerra ^a   Carrasco, Jorge ^a   Molina, Carlos ^a  

^a UNIVERSITY OF CHILE   (Chile)

Author keywords

Bayes theorem; Confidence measure; Dialogue systems; Speech recognition

Indexed keywords

ADAPTIVE ALGORITHMS; APPROXIMATION THEORY; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES;

BAYES THEOREM; CONFIDENCE MEASURE; DIALOGUE SYSTEMS; MAXIMUM HYPOTHESIS LOG-LIKELIHOOD; STOCHASTIC ADAPTATION ALGORITHM;

SPEECH RECOGNITION;

EID: 27844467768     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2005.856888     Document Type: Review

References (10)

1. T. J. Hazen, Th. Burianek, J. Polifroni, and S. Seneff, "Recognition confidence scoring for use in speech understanding systems," in Proc. ISCA Tutorial Research Workshop, Paris, France, 2000, pp. 213-220.
2. C.H. Lee and Q. Huo, "On adaptive decision rules and decision parameter adaptation for automatic speech recognition," Proc. IEEE, vol. 88, no. 8, pp. 1241-1267, Aug. 2000.
3. M. Andorno, P. Laface, and R. Gemello, "Experiments in confidence scoring for word and sentence verification," in Proc. ICSLP, 2002, pp. 1377-1380.
4. A. Stolcke, Y. König, and M. Weintraub, "Explicit word error minimization in N-best list rescoring," in Proc. 5th Eur. Conf. Speech Communication Technology, vol. 1, 1997, pp. 163-166.
5. K. Y. Kwan, T. Lee, and C. Yang, "Unsupervised N-best based model adaptation using model-level confidence measures," in Proc. ICSLP, 2002, pp. 69-72.
6. F. Jelinek, Statistical Methods for Speech Recognition. Cambridge, MA: The MIT Press, 1998.
7. M. Weintraub, "LVCSR log-likelihood ratio scoring for keyword spotring," in Proc. ICASSP, Detroit, MI, 1995, pp. 297-300.
8. S. Seneff. E. Hurley, R. Lau, C. Pao, P. Schmid, and V. Zue, "Galaxy-II: A reference architecture for conversational system development," in Proc. ICSLP, Sydney, Australia, Nov. 1998, pp. 931-934.
9. N.B. Yoma, I. Brito, and J. Silva, "Language model accuracy and uncertainty in noise canceling in the stochastic weighted Viterbi algorithm," Proc. EUROSPEECH, pp. 2193-2196, 2003.
10. R. O. Duda, Pattern Classification and Scene Analysis. New York: Wiley, 1973.