메뉴 건너뛰기




Volumn 13, Issue 5, 2005, Pages 681-688

Data Mining for Detecting Errors in Dictation Speech Recognition

Author keywords

Document retrieval; recognition; speech; speech data mining

Indexed keywords


EID: 85008024850     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSA.2005.851874     Document Type: Article
Times cited : (22)

References (36)
  • 1
    • 0010250404 scopus 로고    scopus 로고
    • Productivity, satisfaction, and interaction strategies of individual with spinal cord injuries and traditional users interacting with speech recognition software
    • Jun.
    • A. Sears, C.-M. Karat, K. Oseitutu, A. Karimullah, and J. Feng, “Productivity, satisfaction, and interaction strategies of individual with spinal cord injuries and traditional users interacting with speech recognition software,” Universal Access Inf. Soc., vol. 1, no. 1, pp. 4–15, Jun. 2001.
    • (2001) Universal Access Inf. Soc. , vol.1 , Issue.1 , pp. 4-15
    • Sears, A.1    Karat, C.-M.2    Oseitutu, K.3    Karimullah, A.4    Feng, J.5
  • 2
    • 85079240850 scopus 로고
    • Detecting misrecognitions and out-of-vocabulary words
    • Adelaide, Australia
    • S. R. Young, “Detecting misrecognitions and out-of-vocabulary words,” in Proc. ICASSP, vol. II, Adelaide, Australia, 1994, pp. 21–24.
    • (1994) Proc. ICASSP , vol.2 , pp. 21-24
    • Young, S.R.1
  • 3
    • 85009112311 scopus 로고    scopus 로고
    • A two-level schema for detecting recognition errors
    • Jeju Island, Korea
    • Z. Zhou and H. Meng, “A two-level schema for detecting recognition errors,” in Proc. ICSLP, Jeju Island, Korea, 2004.
    • (2004) Proc. ICSLP
    • Zhou, Z.1    Meng, H.2
  • 4
    • 0020894696 scopus 로고
    • Some experiments with a linguistic processor for continuous speech recognition
    • Dec.
    • S. E. Levinson, “Some experiments with a linguistic processor for continuous speech recognition,” IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-31, no. 6, pp. 1549–1556, Dec. 1983.
    • (1983) IEEE Trans. Acoust., Speech, Signal Process. , vol.ASSP-31 , Issue.6 , pp. 1549-1556
    • Levinson, S.E.1
  • 5
    • 0003260442 scopus 로고    scopus 로고
    • Combining statistical learning with a knowledge-based approach—a case study in intensive care monitoring
    • Bled, Slovenia
    • K. Morik, P. Brockhausen, and T. Joachims, “Combining statistical learning with a knowledge-based approach—a case study in intensive care monitoring,” in Proc. 16th Int. Conf. Machine Learning, Bled, Slovenia, 1999, pp. 268–277.
    • (1999) Proc. 16th Int. Conf. Machine Learning , pp. 268-277
    • Morik, K.1    Brockhausen, P.2    Joachims, T.3
  • 6
    • 0042739414 scopus 로고    scopus 로고
    • Hands-free speech-based navigation during dictation: Difficulties, consequences, and solutions
    • A. Sears, J. Feng, K. Oseitutu, and C.-M. Karat, “Hands-free speech-based navigation during dictation: Difficulties, consequences, and solutions,” Human Comput. Interaction, vol. 18, no. 3, pp. 229–257, 2003.
    • (2003) Human Comput. Interaction , vol.18 , Issue.3 , pp. 229-257
    • Sears, A.1    Feng, J.2    Oseitutu, K.3    Karat, C.-M.4
  • 7
    • 0033677006 scopus 로고    scopus 로고
    • Confidence measure and incremental adaptation for the rejection of incorrect data
    • Istanbul, Turkey
    • N. Moreau, D. Charlet, and D. Jouvet, “Confidence measure and incremental adaptation for the rejection of incorrect data,” in Proc. ICASSP, vol. 3, Istanbul, Turkey, 2000, pp. 1807–1810.
    • (2000) Proc. ICASSP , vol.3 , pp. 1807-1810
    • Moreau, N.1    Charlet, D.2    Jouvet, D.3
  • 8
    • 85135168075 scopus 로고    scopus 로고
    • Word and acoustic confidence annotation for large vocabulary speech recognition
    • Rhodes, Greece
    • L. Chase, “Word and acoustic confidence annotation for large vocabulary speech recognition,” in Proc. Eurospeech, Rhodes, Greece, 1997, pp. 815–818.
    • (1997) Proc. Eurospeech , pp. 815-818
    • Chase, L.1
  • 9
    • 0035278951 scopus 로고    scopus 로고
    • Confidence measures for large vocabulary continuous speech recognition
    • Mar.
    • F. Wessel, R. Schluter, K. Macherey, and H. Ney, “Confidence measures for large vocabulary continuous speech recognition,” IEEE Trans. Speech Audio Process., vol. 9, no. 3, pp. 288–298, Mar. 2001.
    • (2001) IEEE Trans. Speech Audio Process. , vol.9 , Issue.3 , pp. 288-298
    • Wessel, F.1    Schluter, R.2    Macherey, K.3    Ney, H.4
  • 10
    • 0030648371 scopus 로고    scopus 로고
    • A probabilistic approach to confidence estimation and evaluation
    • Munich, Germany
    • L. Gillick, Y. Ito, and J. Young, “A probabilistic approach to confidence estimation and evaluation,” in Proc. ICASSP, vol. 2, Munich, Germany, 1997, pp. 879–882.
    • (1997) Proc. ICASSP , vol.2 , pp. 879-882
    • Gillick, L.1    Ito, Y.2    Young, J.3
  • 11
    • 0032654481 scopus 로고    scopus 로고
    • Incorporating confidence measures in the Dutch train timetable information system developed in the ARISE project
    • Phoenix, AZ
    • G. Bouwman, J. Sturm, and L. Boves, “Incorporating confidence measures in the Dutch train timetable information system developed in the ARISE project,” in Proc. ICASSP, vol. 1, Phoenix, AZ, 1999, pp. 493–496.
    • (1999) Proc. ICASSP , vol.1 , pp. 493-496
    • Bouwman, G.1    Sturm, J.2    Boves, L.3
  • 12
    • 0141813788 scopus 로고    scopus 로고
    • Utterance verification based on statistics of phone-level confidence scores
    • Hong Kong
    • A. Sankar and S.-L. Wu, “Utterance verification based on statistics of phone-level confidence scores,” in Proc. ICASSP, vol. 1, Hong Kong, 2003, pp. 584–587.
    • (2003) Proc. ICASSP , vol.1 , pp. 584-587
    • Sankar, A.1    Wu, S.-L.2
  • 13
    • 0034296009 scopus 로고    scopus 로고
    • Finding consensus in speech recognition: word error minimization and other applications of confusion networks
    • Oct.
    • L. Mangu, E. Brill, and A. Stolcke, “Finding consensus in speech recognition: word error minimization and other applications of confusion networks,” Comput., Speech Lang., vol. 14, no. 4, pp. 373–400, Oct. 2000.
    • (2000) Comput., Speech Lang. , vol.14 , Issue.4 , pp. 373-400
    • Mangu, L.1    Brill, E.2    Stolcke, A.3
  • 14
    • 4544388787 scopus 로고    scopus 로고
    • Extending boosting for call classification using word confusion networks
    • Montreal, QC, Canada
    • G. Tur, D. Hakkani-Tur, and G. Riccardi, “Extending boosting for call classification using word confusion networks,” in Proc. ICASSP, vol. 1, Montreal, QC, Canada, 2004, pp. 437–440.
    • (2004) Proc. ICASSP , vol.1 , pp. 437-440
    • Tur, G.1    Hakkani-Tur, D.2    Riccardi, G.3
  • 15
    • 0141590649 scopus 로고    scopus 로고
    • Word level confidence measurement using semantic features
    • Hong Kong
    • R. Sarikaya, Y. Gao, and M. Picheny, “Word level confidence measurement using semantic features,” in Proc. ICASSP, vol. 1, Hong Kong, 2003, pp. 604–607.
    • (2003) Proc. ICASSP , vol.1 , pp. 604-607
    • Sarikaya, R.1    Gao, Y.2    Picheny, M.3
  • 16
    • 85008061326 scopus 로고    scopus 로고
    • Speech-based text entry for mobile handheld devices: an analysis of efficacy and error correction techniques for server-based solutions
    • to be published.
    • K. Price and A. Sears, “Speech-based text entry for mobile handheld devices: an analysis of efficacy and error correction techniques for server-based solutions,” Int. J. Human Comput. Interaction, to be published.
    • Int. J. Human Comput. Interaction
    • Price, K.1    Sears, A.2
  • 17
    • 0036816726 scopus 로고    scopus 로고
    • High-level approaches to confidence estimation in speech recognition
    • Oct.
    • S. J. Cox and S. Dasmahapatra, “High-level approaches to confidence estimation in speech recognition,” IEEE Trans. Speech Audio Process., vol. 10, no. 7, pp. 460–471, Oct. 2002.
    • (2002) IEEE Trans. Speech Audio Process. , vol.10 , Issue.7 , pp. 460-471
    • Cox, S.J.1    Dasmahapatra, S.2
  • 18
    • 0033708811 scopus 로고    scopus 로고
    • Contextual confidence measures for continuous speech recognition
    • Istanbul, Turkey
    • G. Hernandez-Abrego and J. Marino, “Contextual confidence measures for continuous speech recognition,” in Proc. ICASSP, vol. 3, Istanbul, Turkey, 2000, pp. 1803–1806.
    • (2000) Proc. ICASSP , vol.3 , pp. 1803-1806
    • Hernandez-Abrego, G.1    Marino, J.2
  • 20
    • 0011578015 scopus 로고
    • A Robust Parsing Algorithm for Link Grammars
    • Comput. Sci. Dept., Carnegie Mellon Univ., Pitts-burgh, PA, Tech. Rep. CMU-CS-95-125, Aug.
    • D. Grinberg, J. Lafferty, and D. Sleator, “A Robust Parsing Algorithm for Link Grammars,” Comput. Sci. Dept., Carnegie Mellon Univ., Pitts-burgh, PA, Tech. Rep. CMU-CS-95-125, Aug. 1995.
    • (1995)
    • Grinberg, D.1    Lafferty, J.2    Sleator, D.3
  • 21
    • 0003507431 scopus 로고
    • The Estimation of Probabilities: An Essay on Modern Bayesian Methods
    • Cambridge, MA: MIT Press
    • I. J. Good, The Estimation of Probabilities: An Essay on Modern Bayesian Methods. Cambridge, MA: MIT Press, 1965.
    • (1965)
    • Good, I.J.1
  • 22
    • 34249761849 scopus 로고
    • Learning Bayesian networks: the combination of knowledge and statistical data
    • Sep.
    • D. Heckerman, D. Geiger, and D. Chickering, “Learning Bayesian networks: the combination of knowledge and statistical data,” Machine Learning, vol. 20, no. 3, pp. 197–243, Sep. 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.3
  • 24
    • 0003391330 scopus 로고
    • Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
    • San Francisco, CA: Morgan Kaufmann
    • J. Pearl, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. San Francisco, CA: Morgan Kaufmann, 1988.
    • (1988)
    • Pearl, J.1
  • 25
    • 0003444646 scopus 로고
    • Parallel and Distributed Processing: Explorations in the Microstructure of Cognition
    • Cambridge, MA: MIT Press
    • D. E. Rumelhart and J. L. McClelland, Parallel and Distributed Processing: Explorations in the Microstructure of Cognition. Cambridge, MA: MIT Press, 1986.
    • (1986)
    • Rumelhart, D.E.1    McClelland, J.L.2
  • 26
    • 0003450542 scopus 로고
    • The Nature of Statistical Learning Theory
    • New York: Springer-Verlag
    • V. N. Vapnik, The Nature of Statistical Learning Theory. New York: Springer-Verlag, 1995.
    • (1995)
    • Vapnik, V.N.1
  • 27
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Jun.
    • C. Burges, “A tutorial on support vector machines for pattern recognition,” Data Mining Knowledge Discovery, vol. 2, no. 2, pp. 121–167, Jun. 1998.
    • (1998) Data Mining Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.1
  • 28
    • 0003710380 scopus 로고    scopus 로고
    • LIBSVM: A Library for Support Vector Machines
    • [Online]
    • C.-C. Chang and C.-J. Lin. (2001) LIBSVM: A Library for Support Vector Machines. [Online] http://www.csie.ntu.edu.tw/~cjlin/libsvm
    • (2001)
    • Chang, C.-C.1    Lin, C.-J.2
  • 29
    • 85084737696 scopus 로고
    • Sensitivity analysis for feedforward artificial neural networks with differentiable activation functions
    • Baltimore, MD
    • S. Hashem, “Sensitivity analysis for feedforward artificial neural networks with differentiable activation functions,” in Proc. IEEE Int. Joint Conf. Neural Networks, vol. 1, Baltimore, MD, 1992, pp. 419–429.
    • (1992) Proc. IEEE Int. Joint Conf. Neural Networks , vol.1 , pp. 419-429
    • Hashem, S.1
  • 30
    • 84894558975 scopus 로고    scopus 로고
    • Regression Models for Categorical and Limited Dependent Variables
    • Thousand Oaks, CA: SAGE
    • S. J. Long, Regression Models for Categorical and Limited Dependent Variables. Thousand Oaks, CA: SAGE, 1997.
    • (1997)
    • Long, S.J.1
  • 31
    • 0029727311 scopus 로고    scopus 로고
    • A sensitivity analysis algorithm for pruning feedforward neural networks
    • Washington, DC
    • A. E. Engelbrecht and I. Cloete, “A sensitivity analysis algorithm for pruning feedforward neural networks,” in Proc. IEEE Int. Conf. Neural Networks, vol. 2, Washington, DC, 1996, pp. 1274–1277.
    • (1996) Proc. IEEE Int. Conf. Neural Networks , vol.2 , pp. 1274-1277
    • Engelbrecht, A.E.1    Cloete, I.2
  • 32
    • 0032674833 scopus 로고    scopus 로고
    • A formal selection and pruning algorithm for feedforward artificial neural network optimization
    • Jul.
    • P. V. S. Ponnapalli, K. C. Ho, and M. Thomson, “A formal selection and pruning algorithm for feedforward artificial neural network optimization,” IEEE Trans. Neural Networks, vol. 10, no. 4, pp. 964–968, Jul. 1999.
    • (1999) IEEE Trans. Neural Networks , vol.10 , Issue.4 , pp. 964-968
    • Ponnapalli, P.V.S.1    Ho, K.C.2    Thomson, M.3
  • 34
    • 0036293688 scopus 로고    scopus 로고
    • Asymmetrical support vector machines and applications in speech processing
    • Orlando, FL
    • P. Ding, Z. Chen, Y. Liu, and B. Xu, “Asymmetrical support vector machines and applications in speech processing,” in Proc. ICASSP, vol. 1, Orlando, FL, 2002, pp. 73–76.
    • (2002) Proc. ICASSP , vol.1 , pp. 73-76
    • Ding, P.1    Chen, Z.2    Liu, Y.3    Xu, B.4
  • 35
    • 0003462953 scopus 로고
    • Detection Estimation and Modulation Theory
    • New York: Wiley
    • H. L. V. Trees, Detection Estimation and Modulation Theory. New York: Wiley, 1971, vol. 1–3.
    • (1971) , vol.1-3
    • Trees, H.L.V.1
  • 36
    • 10844260787 scopus 로고    scopus 로고
    • Using confidence scores to improve hands-free speech-based recognition error specification
    • Dec.
    • J. Feng and A. Sears, “Using confidence scores to improve hands-free speech-based recognition error specification,” ACM Trans. Computer-Human Interaction, vol. 11, no. 4, pp. 329–356, Dec. 2004.
    • (2004) ACM Trans. Computer-Human Interaction , vol.11 , Issue.4 , pp. 329-356
    • Feng, J.1    Sears, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.