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Volumn 3, Issue 3, 2006, Pages 1-31

An active approach to spoken language processing

Author keywords

Active evaluation; Active learning; Adaptive learning; Automatic speech recognition; Passive learning; Speech and language processing; Spoken dialog systems; Spoken language understanding; Unsupervised learning

Indexed keywords

ADAPTIVE SYSTEMS; DATA ACQUISITION; EVALUATION; LEARNING SYSTEMS; SPEECH ANALYSIS; SPEECH RECOGNITION;

EID: 33750924974     PISSN: 15504875     EISSN: 15504883     Source Type: Journal    
DOI: 10.1145/1177055.1177056     Document Type: Article
Times cited : (26)

References (56)
  • 2
    • 0000710299 scopus 로고
    • Queries and concept learning
    • ANOLUIN, D. 1988. Queries and concept learning. Mach. Learn. 2, 319-342.
    • (1988) Mach. Learn. , vol.2 , pp. 319-342
    • Anoluin, D.1
  • 3
    • 0242445747 scopus 로고    scopus 로고
    • Committee-based sample selection for probabilistic classifiers
    • ARGAMON-ENGELSON, S. AND DAGAN, I. 1999. Committee-based sample selection for probabilistic classifiers. J. Artif. Intel. Res. 11, 335-360.
    • (1999) J. Artif. Intel. Res. , vol.11 , pp. 335-360
    • Argamon-Engelson, S.1    Dagan, I.2
  • 7
    • 0028424239 scopus 로고
    • Improving generalization with active learning
    • COHN, D., ATLAS, L., AND LADNER, R. 1994. Improving generalization with active learning. Mach. Learn. 15, 201-221.
    • (1994) Mach. Learn. , vol.15 , pp. 201-221
    • Cohn, D.1    Atlas, L.2    Ladner, R.3
  • 8
    • 0029375590 scopus 로고
    • Speaker adaptation using constrained estimation of gaussian mixtures
    • DIGALAKIS, V., RTISCHEV, D., AND NEUMEYEH, L. G. 1995. Speaker adaptation using constrained estimation of gaussian mixtures. IEEE Trans. Speech Audio Process. 3, 5, 357-366.
    • (1995) IEEE Trans. Speech Audio Process. , vol.3 , Issue.5 , pp. 357-366
    • Digalakis, V.1    Rtischev, D.2    Neumeyeh, L.G.3
  • 11
    • 0031209604 scopus 로고    scopus 로고
    • Selective sampling using the query by committee algorithm
    • FREUND, Y., SEUNG, H. S., SHAMIR, E., AND TISHBY, N. 1997. Selective sampling using the query by committee algorithm. Mach. Learn. 28, 133-168.
    • (1997) Mach. Learn. , vol.28 , pp. 133-168
    • Freund, Y.1    Seung, H.S.2    Shamir, E.3    Tishby, N.4
  • 23
    • 0027188175 scopus 로고
    • Efficient noise-tolerant learning from statistical queries
    • (San Diego, CA). ACM, New York
    • KEARNS, M. 1993. Efficient noise-tolerant learning from statistical queries. In Proceedings of the ACM Symposium on Theory of Computing (San Diego, CA). ACM, New York.
    • (1993) Proceedings of the ACM Symposium on Theory of Computing
    • Kearns, M.1
  • 25
    • 0029288633 scopus 로고
    • Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models
    • LEGGETTER, C. AND WOODLAND, P. 1995a. Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models. Comput. Speech Lang. 9, 2, 171-185.
    • (1995) Comput. Speech Lang. , vol.9 , Issue.2 , pp. 171-185
    • Leggetter, C.1    Woodland, P.2
  • 29
    • 34249852033 scopus 로고
    • Building a large annotated corpus of English: The Penn Treebank
    • MARCUS, M. P., SANTORINI, B., AND MARCINKIEWICZ, M. A. 1993. Building a large annotated corpus of English: The Penn Treebank. Computat. Ling. 19, 313-330.
    • (1993) Computat. Ling. , vol.19 , pp. 313-330
    • Marcus, M.P.1    Santorini, B.2    Marcinkiewicz, M.A.3
  • 31
    • 33750921703 scopus 로고    scopus 로고
    • Correction of errors in a modality corpus used for machine translation using machine-learning
    • Japan
    • MURATA, M., UTIYAMA, M., UCHIMOTO, K., MA, Q., AND ISAHARA, H. 2002. Correction of errors in a modality corpus used for machine translation using machine-learning. In Proceedings of the TMI (Japan).
    • (2002) Proceedings of the TMI
    • Murata, M.1    Utiyama, M.2    Uchimoto, K.3    Ma, Q.4    Isahara, H.5
  • 35
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using em
    • NIGAM, K., MCCALLUM, A., THRUN, S., AND MITCHELL, T. 2000. Text classification from labeled and unlabeled documents using EM. Mach. Lear. 39, 2/3, 103-134.
    • (2000) Mach. Lear. , vol.39 , Issue.2-3 , pp. 103-134
    • Nigam, K.1    Mccallum, A.2    Thrun, S.3    Mitchell, T.4
  • 37
    • 85039253174 scopus 로고    scopus 로고
    • REUTERS
    • REUTERS. 2004. http://www.daviddlewis.com/resources/testcollections/ reuters21578.
    • (2004)
  • 38
    • 0033908288 scopus 로고    scopus 로고
    • Stochastic language adaptation over time and state in a natural spoken dialog system
    • RICCARDI, G. AND GORIN, A. L. 2000. Stochastic language adaptation over time and state in a natural spoken dialog system. IEEE Trans. Speech and Audio Processing 8, 1, 3-9.
    • (2000) IEEE Trans. Speech and Audio Processing , vol.8 , Issue.1 , pp. 3-9
    • Riccardi, G.1    Gorin, A.L.2
  • 40
    • 22544470628 scopus 로고    scopus 로고
    • Active learning: Theory and applications to automatic speech recognition
    • RICCARDI, G. AND HAKKANI-TÜR, D. 2005. Active learning: Theory and applications to automatic speech recognition. IEEE Trans. Speech Audio Process. 13, 4, 504-511.
    • (2005) IEEE Trans. Speech Audio Process , vol.13 , Issue.4 , pp. 504-511
    • Riccardi, G.1    Hakkani-Tür, D.2
  • 43
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • SCHAPIHE, R. E. AND SINGEE, Y. 1999. Improved boosting algorithms using confidence-rated predictions. Mach. Learn. 37, 3, 297-336.
    • (1999) Mach. Learn. , vol.37 , Issue.3 , pp. 297-336
    • Schapihe, R.E.1    Singee, Y.2
  • 44
    • 0033905095 scopus 로고    scopus 로고
    • Boostexter: A boosting-based system for text categorization
    • SCHAPIRE, R. E. AND SINGER, Y. 2000. Boostexter: A boosting-based system for text categorization. Mach. Learn. 39, 2/3, 135-168.
    • (2000) Mach. Learn. , vol.39 , Issue.2-3 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 49
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • TONG, S. AND KOLLER, D. 2001. Support vector machine active learning with applications to text classification. J. Mach. Learn. Res. 2, 45-66.
    • (2001) J. Mach. Learn. Res. , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 51
    • 13544261390 scopus 로고    scopus 로고
    • Combining active and semi-supervised learning for spoken language understanding
    • TUB, G., HAKKANI-TÜR, D., AND SCHAPIRE, R. E. 2005. Combining active and semi-supervised learning for spoken language understanding. Speech Commun. 45, 2, 171-186.
    • (2005) Speech Commun. , vol.45 , Issue.2 , pp. 171-186
    • Tub, G.1    Hakkani-Tür, D.2    Schapire, R.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.