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Volumn 2015-August, Issue , 2015, Pages 5391-5395

Scaling recurrent neural network language models

Author keywords

GPU; language modelling; recurrent neural network; RNNLM; speech recognition

Indexed keywords

AUDIO SIGNAL PROCESSING; COMPUTATIONAL LINGUISTICS; GRAPHICS PROCESSING UNIT; PROGRAM PROCESSORS; RECURRENT NEURAL NETWORKS; SPEECH COMMUNICATION; SPEECH RECOGNITION;

EID: 84946091011     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2015.7179001     Document Type: Conference Paper
Times cited : (50)

References (22)
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    • Robinson, A.J.1
  • 8
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    • N-gram counts and language models from the common crawl
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  • 16
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    • Efficient GPU-based training of recurrent neural network language models using spliced sentence bunch
    • Xie Chen, YongqiangWang, Xunying Liu, Mark JF Gales, and Philip C Woodland, "Efficient GPU-based training of recurrent neural network language models using spliced sentence bunch," Proc. ISCA Interspeech, 2014.
    • (2014) Proc. ISCA Interspeech
    • Chen, X.1    YongqiangWang2    Liu, X.3    Gales, M.J.F.4    Woodland, P.C.5
  • 18
    • 84893343292 scopus 로고    scopus 로고
    • Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
    • T. Tieleman and G. Hinton, "Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude," COURSERA: Neural Networks for Machine Learning, vol. 4, 2012.
    • (2012) COURSERA: Neural Networks for Machine Learning , vol.4
    • Tieleman, T.1    Hinton, G.2
  • 19
  • 20
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    • TED-LIUM: An Automatic Speech Recognition dedicated corpus
    • Anthony Rousseau, Paul Deléglise, and Yannick Estève, "TED-LIUM: an Automatic Speech Recognition dedicated corpus," in LREC, 2012, pp. 125-129.
    • (2012) LREC , pp. 125-129
    • Rousseau, A.1    Deléglise, P.2    Estève, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.