메뉴 건너뛰기




Volumn 2016-May, Issue , 2016, Pages 5965-5969

Towards implicit complexity control using variable-depth deep neural networks for automatic speech recognition

Author keywords

Deep Learning; Speech Recognition

Indexed keywords


EID: 84973322569     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2016.7472822     Document Type: Conference Paper
Times cited : (13)

References (11)
  • 3
    • 84910080732 scopus 로고    scopus 로고
    • arXiv preprint arXiv: 1312. 6184
    • L. J. Ba and R. Caurana, "Do Deep Nets Really Need to be Deep " arXiv preprint arXiv: 1312. 6184, pp. 1-6, 2013. [Online]. Available: http: //arxiv. org/abs/1312. 6184
    • (2013) Do Deep Nets Really Need to Be Deep , pp. 1-6
    • Ba, L.J.1    Caurana, R.2
  • 4
    • 84910035297 scopus 로고    scopus 로고
    • Learning small-size dnn with output-distribution-based criteria
    • J. Li, R. Zhao, J.-T. Huang, and Y. Gong, "Learning small-size dnn with output-distribution-based criteria, " in Proc. Interspeech, 2014
    • (2014) Proc. Interspeech
    • Li, J.1    Zhao, R.2    Huang, J.-T.3    Gong, Y.4
  • 7
    • 84890454527 scopus 로고    scopus 로고
    • Low-rank matrix factorization for deep neural network training with high-dimensional output targets
    • T. N. Sainath, B. Kingsbury, V. Sindhwani, E. Arisoy, and B. Ramabhadran, "Low-Rank Matrix Factorization for Deep Neural Network Training With High-Dimensional Output Targets, " Icassp2013, pp. 6655-6659, 2013
    • (2013) Icassp2013 , pp. 6655-6659
    • Sainath, T.N.1    Kingsbury, B.2    Sindhwani, V.3    Arisoy, E.4    Ramabhadran, B.5
  • 8
    • 84906227589 scopus 로고    scopus 로고
    • Restructuring of deep neural network acoustic models with singular value decomposition
    • J. Xue, J. Li, and Y. Gong, "Restructuring of deep neural network acoustic models with singular value decomposition. " in INTERSPEECH, 2013, pp. 2365-2369
    • (2013) Interspeech , pp. 2365-2369
    • Xue, J.1    Li, J.2    Gong, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.