A Comparison of deep learning methods for environmental sound

20 March 2017

Papers citing "A Comparison of deep learning methods for environmental sound"

9 / 9 papers shown

Title
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 137 2,338 0 09 May 2016
Equilibrated adaptive learning rates for non-convex optimization Yann N. Dauphin H. D. Vries Yoshua Bengio ODL 36 377 0 15 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 354 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 889 149,474 0 22 Dec 2014
Deep Speech: Scaling up end-to-end speech recognition Awni Y. Hannun Carl Case Jared Casper Bryan Catanzaro G. Diamos ... R. Prenger S. Satheesh Shubho Sengupta Adam Coates A. Ng 161 2,119 0 17 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 293 12,662 0 11 Dec 2014
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results J. Chorowski Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio 82 470 0 04 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 963 99,991 0 04 Sep 2014
Speech Recognition with Deep Recurrent Neural Networks Alex Graves Abdel-rahman Mohamed Geoffrey E. Hinton 167 8,503 0 22 Mar 2013