메뉴 건너뛰기




Volumn , Issue , 2011, Pages 262-267

Can non-linear readout nodes enhance the performance of reservoir-based speech recognizers?

Author keywords

Automatic Speech Recognition; Linear Regression; Logistic Regression; On line Training; Recurrent Neural Networks; Reservoir Computing

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; CONTINUOUS SPEECH; ERROR BACK-PROPAGATION; EXPERIMENTAL EVIDENCE; LARGE NETWORKS; LINEAR OUTPUT; LOCAL OPTIMA; LOGISTIC REGRESSION; NON-LINEAR REGRESSION; ONLINE TRAINING; RESERVOIR COMPUTING; SPEECH RECOGNIZER;

EID: 84857152342     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICI.2011.50     Document Type: Conference Paper
Times cited : (11)

References (12)
  • 1
    • 0028392167 scopus 로고
    • An application of recurrent neural nets to phone probability estimation
    • A. Robinson, "An application of recurrent neural nets to phone probability estimation, " IEEE Trans. on Neural Networks, vol. 5, pp. 298-305, 1994.
    • (1994) IEEE Trans. on Neural Networks , vol.5 , pp. 298-305
    • Robinson, A.1
  • 2
    • 33749833931 scopus 로고    scopus 로고
    • Tutorial on training recurrent neural networks, covering BPTT, RTRL, EKF and the echo state network approach
    • [Online]. Available
    • H. Jaeger, "Tutorial on training recurrent neural networks, covering BPTT, RTRL, EKF and the echo state network approach, " German National Research Center for Information Technology, Tech. Rep., 2002. [Online]. Available: http://www.faculty.jacobs-university.de/hjaeger.
    • (2002) German National Research Center for Information Technology, Tech. Rep.
    • Jaeger, H.1
  • 3
    • 34249815487 scopus 로고    scopus 로고
    • An experimental unification of reservoir computing methods
    • DOI 10.1016/j.neunet.2007.04.003, PII S089360800700038X, Echo State Networks and Liquid State Machines
    • D. Verstraeten, B. Schrauwen, M. D'Haene, and D. Stroobandt, "An experimental unification of reservoir computing methods, " Neural Networks, vol. 20, pp. 391-403, 2007. (Pubitemid 46856109)
    • (2007) Neural Networks , vol.20 , Issue.3 , pp. 391-403
    • Verstraeten, D.1    Schrauwen, B.2    D'Haene, M.3    Stroobandt, D.4
  • 4
    • 34249938474 scopus 로고    scopus 로고
    • Optimization and applications of echo state networks with leaky- integrator neurons
    • DOI 10.1016/j.neunet.2007.04.016, PII S089360800700041X, Echo State Networks and Liquid State Machines
    • H. Jaeger, M. Lukosevicius, D. Popovici, and U. Siewert, "Optimization and applications of echo state networks with leaky-integrator neurons, " Neural Networks, vol. 20, pp. 335- 352, 2007. (Pubitemid 46876638)
    • (2007) Neural Networks , vol.20 , Issue.3 , pp. 335-352
    • Jaeger, H.1    Lukosevicius, M.2    Popovici, D.3    Siewert, U.4
  • 7
    • 84952505343 scopus 로고
    • Ridge regression in practice
    • D. W. Marquardt and R. D. Snee, "Ridge regression in practice, " The American Statistician, vol. 29, no. 1, pp. pp. 3-20, 1975.
    • (1975) The American Statistician , vol.29 , Issue.1 , pp. 3-20
    • Marquardt, D.W.1    Snee, R.D.2
  • 9
    • 0036565199 scopus 로고    scopus 로고
    • An equalized error backpropagation algorithm for the on-line training of multilayer perceptrons
    • DOI 10.1109/TNN.2002.1000122, PII S1045922702044478
    • J.-P. Martens and N. Weymaere, "An equalized error backpropagation algorithm for the on-line training of multilayer perceptrons, " IEEE Trans. on Neural Networks, vol. 13, pp. 532-541, 2002. (Pubitemid 34669645)
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.3 , pp. 532-541
    • Martens, J.-P.1    Weymaere, N.2
  • 11
    • 0001595997 scopus 로고
    • Neural net classifiers estimate posterior probabilities
    • M. Richard and R. Lippmann, "Neural net classifiers estimate posterior probabilities, " Neural Computation, vol. 3(4), pp. 461-483, 1991.
    • (1991) Neural Computation , vol.3 , Issue.4 , pp. 461-483
    • Richard, M.1    Lippmann, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.