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Deep convolutional neural networks (CNNs) have been actively adopted in the field of music information retrieval, e.g.
“Imagenet classification with deep convolutional neural networks,”
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton, · 2012
Earlier work this paper cites.
“Rethinking automatic chord recognition with convolutional neural networks,”
Eric J Humphrey and Juan P Bello, · 2012
Earlier work this paper cites.
“On the use of masking filters in sound source separation,”
Derry Fitzgerald and Rajesh Jaiswal, · 2012
Earlier work this paper cites.
“Deep learning tutorial,”
Yann LeCun and M Ranzato, · 2013
Earlier work this paper cites.
“Visualizing and understanding convolutional networks,”
Matthew D Zeiler and Rob Fergus, · 2014
Earlier work this paper cites.
“End-to-end learning for music audio,”
Sander Dieleman and Benjamin Schrauwen, · 2014
Cited alongside, same era.
“Boundary detection in music structure analysis using convolutional neural networks,”
Karen Ullrich, Jan Schlüter, and Thomas Grill, · 2014
Cited alongside, same era.
“Dropout: A simple way to prevent neural networks from overfitting,”
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov, · 2014
Cited alongside, same era.
“Auralisation of deep convolutional neural networks: Listening to learned features,”
Keunwoo Choi, George Fazekas, Mark Sandler, and Jeonghee Kim, · 2015
Cited alongside, same era.
“Music-noise segmentation in spectrotemporal domain using convolutional neural networks,”
Taejin Park and Taejin Lee, · 2015
Later among the works it cites.
“Keras: Deep learning library for theano and tensorflow,” https://github.com/fchollet/keras, 2015
François Chollet, · 2015
Later among the works it cites.
“librosa: Audio and music signal analysis in python,”
Brian McFee, Colin Raffel, Dawen Liang, Daniel PW Ellis, Matt McVicar, Eric Battenberg, and Oriol Nieto, · 2015
Later among the works it cites.
“Theano: A Python framework for fast computation of mathematical expressions,”
Theano Development Team, · 2016
Closest in time.
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