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Volumn 2015-January, Issue , 2015, Pages 3259-3263

Very deep convolutional neural networks for LVCSR

Author keywords

Acoustic model; CNNs; Neural networks; Speech recognition; Very deep convolutional networks

Indexed keywords

CONTINUOUS SPEECH RECOGNITION; CONVOLUTION; EMBEDDED SYSTEMS; IMAGE CLASSIFICATION; NEURAL NETWORKS; SPEECH; SPEECH COMMUNICATION;

EID: 84959133563     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (48)

References (15)
  • 5
    • 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
  • 10
    • 84922343800 scopus 로고    scopus 로고
    • Deep convolutional neural networks for large-scale speech tasks
    • special Issue on Deep Learning of Representations
    • T. N. Sainath, B. Kingsbury, G. Saon, H. Soltau, A. rahman Mohamed, G. Dahl, and B. Ramabhadran, "Deep convolutional neural networks for large-scale speech tasks, " Neural Networks, vol. 64, no. 0, pp. 39-48, 2015, special Issue on Deep Learning of Representations.
    • (2015) Neural Networks , vol.64 , pp. 39-48
    • Sainath, T.N.1    Kingsbury, B.2    Saon, G.3    Soltau, H.4    Rahman Mohamed, A.5    Dahl, G.6    Ramabhadran, B.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.