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Volumn , Issue , 1995, Pages 2171-2174

SPEAKER-ADAPTATION FOR HYBRID HMM-ANN CONTINUOUS SPEECH RECOGNITION SYSTEM

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; SPEECH COMMUNICATION; SPEECH RECOGNITION;

EID: 84937854847     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (152)

References (8)
  • 3
    • 0023776398 scopus 로고
    • The DARPA 1,000-Word Resource Management Database for Continuous Speech Recognition
    • P. Price, W. M. Fisher, J. Bernstein and D. S. Pallett, The DARPA 1,000-Word Resource Management Database for Continuous Speech Recognition, Proceedings ICASSP 1988, p. 651-654,1988.
    • (1988) Proceedings ICASSP , vol.1988 , pp. 651-654
    • Price, P.1    Fisher, W. M.2    Bernstein, J.3    Pallett, D. S.4
  • 4
    • 0001595997 scopus 로고
    • Neural Network Classifiers Estimate Bayesian a posteriori Probabilities
    • M. D. Richard and R. P. Lippmann, Neural Network Classifiers Estimate Bayesian a posteriori Probabilities, Neural Computation, vol. 3, pp. 461-483,1991.
    • (1991) Neural Computation , vol.3 , pp. 461-483
    • Richard, M. D.1    Lippmann, R. P.2
  • 5
    • 0029023603 scopus 로고
    • Recurrent Neural Networks can be Trained to be Maximum A Posteriori Probability Classifiers
    • S. Santini and A. Del Bimbo, Recurrent Neural Networks can be Trained to be Maximum A Posteriori Probability Classifiers, Neural Networks, vol. 8, no. 1, pp. 25-29, 1995.
    • (1995) Neural Networks , vol.8 , Issue.1 , pp. 25-29
    • Santini, S.1    Del Bimbo, A.2
  • 6
    • 0028392167 scopus 로고
    • An application of recurrent nets to phone probability estimation
    • T. Robinson, An application of recurrent nets to phone probability estimation, IEEE Trans, on Neural Networks, vol. 5, no. 2, pp. 298-305, 1994.
    • (1994) IEEE Trans, on Neural Networks , vol.5 , Issue.2 , pp. 298-305
    • Robinson, T.1
  • 7
    • 85135162445 scopus 로고
    • Using Gamma Filters to Model Temporal Dependencies in Speech
    • S. Renais and M. Hochberg, Using Gamma Filters to Model Temporal Dependencies in Speech, Proceedings of ICSLP - 9 4, pp.1491-1494, 1994.
    • (1994) Proceedings of ICSLP - 9 4 , pp. 1491-1494
    • Renais, S.1    Hochberg, M.2
  • 8
    • 0026895542 scopus 로고
    • The Gamma Model—a New Neural Model for Temporal Processing
    • B. de Vriesand J. C. Principe, The Gamma Model—a New Neural Model for Temporal Processing, Neural Networks, vol. 5, pp. 565 - 576, 1992.
    • (1992) Neural Networks , vol.5 , pp. 565-576
    • de Vriesand, B.1    Principe, J. C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.