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Volumn , Issue , 2009, Pages 153-160

Matrix updates for perceptron training of continuous density hidden Markov models

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; CONTEXT INDEPENDENT; CONTINUOUS DENSITY HIDDEN MARKOV MODELS; CONVERGENCE RATES; COVARIANCE MATRICES; DISCRIMINATIVE TRAINING; GAUSSIAN EMISSION; MATRIX FACTORIZATIONS; MATRIX UPDATES; PARAMETER SPACES; PARAMETERIZED; PERCEPTRON; PHONE ERROR RATE; POSITIVE SEMIDEFINITE MATRICES; RAPID REDUCTION; SPEECH CORPORA; VITERBI;

EID: 71149085362     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (17)
  • 4
  • 5
    • 0033281425 scopus 로고    scopus 로고
    • Large margin classification using the perceptron algorithm
    • Freund, Y., & Schapire, R. E. (1999). Large margin classification using the perceptron algorithm. Machine Learning (pp. 277-296).
    • (1999) Machine Learning , pp. 277-296
    • Freund, Y.1    Schapire, R.E.2
  • 6
    • 84868111801 scopus 로고    scopus 로고
    • A new approximate maximal margin classification algorithm
    • Gentile, C. (2002). A new approximate maximal margin classification algorithm. J. Mach. Learn. Res., 2, 213-242.
    • (2002) J. Mach. Learn. Res , vol.2 , pp. 213-242
    • Gentile, C.1
  • 9
    • 0026982122 scopus 로고
    • Discriminative learning for minimum error classification
    • Juang, B.-H., & Katagiri, S. (1992). Discriminative learning for minimum error classification. IEEE Trans. Sig. Proc., 40, 3043-3054.
    • (1992) IEEE Trans. Sig. Proc , vol.40 , pp. 3043-3054
    • Juang, B.-H.1    Katagiri, S.2
  • 13
    • 0020796537 scopus 로고
    • A decision-theoretic formulation of a training problem in speech recognition and a comparison of training by unconditional versus conditional maximum likelihood
    • Nádas, A. (1983). A decision-theoretic formulation of a training problem in speech recognition and a comparison of training by unconditional versus conditional maximum likelihood. IEEE Transactions on Acoustics, Speech and Signal Processing, 31, 814-817.
    • (1983) IEEE Transactions on Acoustics, Speech and Signal Processing , vol.31 , pp. 814-817
    • Nádas, A.1
  • 14
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • Rosenblatt, F (1958). The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65.
    • (1958) Psychological Review , vol.65
    • Rosenblatt, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.