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Volumn , Issue , 1993, Pages 2125-2128

THE PHILIPS RESEARCH SYSTEM FOR LARGE-VOCABULARY CONTINUOUS-SPEECH RECOGNITION

Author keywords

Continuous speech recognition; large vocabulary recognition

Indexed keywords

SPEECH COMMUNICATION; VOCABULARY CONTROL;

EID: 85135378383     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (16)
  • 1
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    • Continuous Mixture Densities and Linear Discriminant Analysis for Improved Context-Dependent Acoustic Models
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    • X. Aubert, R. Haeb-Umbach, H. Ney: "Continuous Mixture Densities and Linear Discriminant Analysis for Improved Context-Dependent Acoustic Models", ICASSP, Minneapolis, MN, pp. II648-651, April 1993.
    • (1993) ICASSP , pp. II648-II651
    • Aubert, X.1    Haeb-Umbach, R.2    Ney, H.3
  • 2
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    • Stochastic Modeling for Automatic Speech Understanding
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  • 4
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    • M. J. Hunt, C. Lefebvre: "A Comparison of Several Acoustic Representations for Speech Recognition with Degraded and Undegraded Speech", ICASSP, pp. 262-265, Glasgow, May 1989.
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    • Hunt, M. J.1    Lefebvre, C.2
  • 5
    • 84916498649 scopus 로고
    • A Look-Ahead Search Technique for Large-Vocabulary Continuous-Speech Recognition
    • Genova, Sep
    • R. Haeb-Umbach, H. Ney: "A Look-Ahead Search Technique for Large-Vocabulary Continuous-Speech Recognition", Proc. Europ. Conf. on Speech Communication and Technology, Genova, pp. 495-498, Sep. 1991.
    • (1991) Proc. Europ. Conf. on Speech Communication and Technology , pp. 495-498
    • Haeb-Umbach, R.1    Ney, H.2
  • 6
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    • Linear Discriminant Analysis for Improved Large Vocabulary Continuous Speech Recognition
    • San Francisco, CA, March
    • R. Haeb-Umbach, H. Ney: "Linear Discriminant Analysis for Improved Large Vocabulary Continuous Speech Recognition", ICASSP, San Francisco, CA, pp. 113-16, March 1992.
    • (1992) ICASSP , pp. 113-116
    • Haeb-Umbach, R.1    Ney, H.2
  • 7
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    • Improvements in Connected Digit Recognition Using Linear Discriminant Analysis and Mixture Densities
    • Minneapolis, MN, April
    • R. Haeb-Umbach, D. Geller, H. Ney: "Improvements in Connected Digit Recognition Using Linear Discriminant Analysis and Mixture Densities", ICASSP, Minneapolis, MN, pp. II239-242, April 1993.
    • (1993) ICASSP , pp. II239-II242
    • Haeb-Umbach, R.1    Geller, D.2    Ney, H.3
  • 8
    • 0016939124 scopus 로고
    • Continuous Speech Recognition by Statistical Methods
    • April
    • F. Jelinek: "Continuous Speech Recognition by Statistical Methods", Proc. of the IEEE, Vol. 64, No. 10, pp. 532-556, April 1976.
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  • 9
    • 0001993550 scopus 로고
    • Principles of Lexical Language Modeling for Speech Recognition
    • S. Furui, M. M Sondhi (eds): Marcel Dekker, New York
    • F. Jelinek, R. L. Mercer, S. Roukos: "Principles of Lexical Language Modeling for Speech Recognition", in S. Furui, M. M Sondhi (eds.): 'Advances in Speech Signal Processing', Marcel Dekker, New York, pp. 651-699, 1992.
    • (1992) Advances in Speech Signal Processing , pp. 651-699
    • Jelinek, F.1    Mercer, R. L.2    Roukos, S.3
  • 10
  • 11
    • 0020734214 scopus 로고
    • An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech Recognition
    • April
    • S. E. Levinson, L. R. Rabiner, M. M. Sondhi: "An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech Recognition", The Bell System Technical Journal, Vol. 62, No. 4, pp. 1035-1074, April 1983.
    • (1983) The Bell System Technical Journal , vol.62 , Issue.4 , pp. 1035-1074
    • Levinson, S. E.1    Rabiner, L. R.2    Sondhi, M. M.3
  • 12
    • 33646917089 scopus 로고
    • Modeling and Search in Continuous-Speech Recognition
    • elsewhere in these Berlin, Sep
    • H. Ney: "Modeling and Search in Continuous-Speech Recognition", elsewhere in these Proc. Europ. Conf. on Speech Communication and Technology, Berlin, Sep. 1993.
    • (1993) Proc. Europ. Conf. on Speech Communication and Technology
    • Ney, H.1
  • 13
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    • On Smoothing Techniques for Bigram-Based Natural Language Modelling
    • Toronto, May
    • H. Ney, U. Essen: "On Smoothing Techniques for Bigram-Based Natural Language Modelling", ICASSP, Toronto, pp. 825-828, May 1991.
    • (1991) ICASSP , pp. 825-828
    • Ney, H.1    Essen, U.2
  • 14
    • 85017308347 scopus 로고
    • Improvements in Beam Search for 10000-Word Continuous Speech Recognition
    • San Francisco, CA, 1-9 1-12, March
    • H. Ney, R. Haeb-Umbach, B.-H. Tran, M. Oerder: "Improvements in Beam Search for 10000-Word Continuous Speech Recognition", ICASSP, San Francisco, CA, pp. 1-9 -1-12, March 1992.
    • (1992) ICASSP
    • Ney, H.1    Haeb-Umbach, R.2    Tran, B.-H.3    Oerder, M.4
  • 15
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    • Data Driven Organization of the Dynamic Programming Beam Search for Continuous Speech Recognition
    • Feb
    • H Ney, D. Mergel, A. Noll, A Paeselen "Data Driven Organization of the Dynamic Programming Beam Search for Continuous Speech Recognition", IEEE Trans, on Signal Processing, Vol. SP-40, No. 2, pp. 272-281, Feb. 1992.
    • (1992) IEEE Trans, on Signal Processing , vol.SP-40 , Issue.2 , pp. 272-281
    • Ney, H1    Mergel, D.2    Noll, A.3    Paeselen, A4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.