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Volumn 08-12-September-2016, Issue , 2016, Pages 3429-3433

Advances in very deep convolutional neural networks for LVCSR

Author keywords

Acoustic modeling; Convolutional networks; Neural networks; Speech recognition

Indexed keywords

CONVOLUTION; NEURAL NETWORKS; SPEECH COMMUNICATION; SPEECH PROCESSING; STATISTICAL TESTS;

EID: 84994207081     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: 10.21437/Interspeech.2016-1033     Document Type: Conference Paper
Times cited : (25)

References (35)
  • 1
    • 84973324686 scopus 로고    scopus 로고
    • Very deep multilingual convolutional neural networks for lvcsr
    • T. Sercu, C. Puhrsch, B. Kingsbury, and Y. LeCun, "Very deep multilingual convolutional neural networks for lvcsr, " Proc. ICASSP, 2016.
    • (2016) Proc. ICASSP
    • Sercu, T.1    Puhrsch, C.2    Kingsbury, B.3    LeCun, Y.4
  • 2
    • 84994298763 scopus 로고    scopus 로고
    • "Iarpa babel, " http://www.iarpa.gov/index.php/researchprograms/babel.
    • Iarpa Babel
  • 4
    • 84969584486 scopus 로고    scopus 로고
    • Batch normalization: Accelerating deep network training by reducing internal covariate shift
    • S. Ioffe and C. Szegedy, "Batch normalization: Accelerating deep network training by reducing internal covariate shift, " Proc. ICML, 2015.
    • (2015) Proc ICML
    • Ioffe, S.1    Szegedy, C.2
  • 6
    • 84905265980 scopus 로고    scopus 로고
    • Joint training of convolutional and non-convolutional neural networks
    • H. Soltau, G. Saon, and T. N. Sainath, "Joint training of convolutional and non-convolutional neural networks, " to Proc. ICASSP, 2014.
    • (2014) Proc. ICASSP
    • Soltau, H.1    Saon, G.2    Sainath, T.N.3
  • 7
    • 84959129849 scopus 로고    scopus 로고
    • The IBM 2015 english conversational telephone speech recognition system
    • G. Saon, H.-K. J. Kuo, S. Rennie, and M. Picheny, "The ibm 2015 english conversational telephone speech recognition system, " Proc. Interspeech, 2015.
    • (2015) Proc. Interspeech
    • Saon, G.1    Kuo, H.-K.J.2    Rennie, S.3    Picheny, M.4
  • 9
    • 11144321031 scopus 로고
    • Convolutional networks for images, speech, and time series
    • Y. LeCun and Y. Bengio, "Convolutional networks for images, speech, and time series, " The handbook of brain theory and neural networks, vol. 3361, no. 10, p. 1995, 1995.
    • (1995) The Handbook of Brain Theory and Neural Networks , vol.3361 , Issue.10 , pp. 1995
    • LeCun, Y.1    Bengio, Y.2
  • 10
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition, " Proceedings of the IEEE, vol. 86, no. 11, pp. 2278-2324, 1998.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 12
    • 84897510162 scopus 로고    scopus 로고
    • On the importance of initialization and momentum in deep learning
    • I. Sutskever, J. Martens, G. Dahl, and G. Hinton, "On the importance of initialization and momentum in deep learning, " in Proc. ICML, 2013, pp. 1139-1147.
    • (2013) Proc ICML , pp. 1139-1147
    • Sutskever, I.1    Martens, J.2    Dahl, G.3    Hinton, G.4
  • 25
    • 84959078561 scopus 로고    scopus 로고
    • Convolutional neural networks for small-footprint keyword spotting
    • T. Sainath and C. Parada, "Convolutional neural networks for small-footprint keyword spotting, " in Proc. Interspeech, 2015.
    • (2015) Proc. Interspeech
    • Sainath, T.1    Parada, C.2
  • 28
    • 70349213445 scopus 로고    scopus 로고
    • Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling
    • B. Kingsbury, "Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling, " in Proc. ICASSP. IEEE, 2009, pp. 3761-3764.
    • (2009) Proc. ICASSP IEEE , pp. 3761-3764
    • Kingsbury, B.1
  • 30
    • 84905233897 scopus 로고    scopus 로고
    • Meannormalized stochastic gradient for large-scale deep learning
    • S. Wiesler, A. Richard, R. Schluter, and H. Ney, "Meannormalized stochastic gradient for large-scale deep learning, " in proc. ICASSP. IEEE, 2014, pp. 180-184.
    • (2014) Proc. ICASSP IEEE , pp. 180-184
    • Wiesler, S.1    Richard, A.2    Schluter, R.3    Ney, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.