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We present a content-based automatic music tagging algorithm using fully convolutional neural networks (FCNs).
Convolutional networks for images, speech, and time series
Yann LeCun and Yoshua Bengio · 1995
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Musical genre classification of audio signals
George Tzanetakis and Perry Cook · 2002
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Audio music genre classification using different classifiers and feature selection methods
Yusuf Yaslan and Zehra Cataltepe · 2006
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Evaluation of algorithms using games: The case of music tagging
Edith Law, Kris West, Michael I Mandel, Mert Bay, and J Stephen Downie · 2009
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The million song dataset
Thierry Bertin-Mahieux, Daniel PW Ellis, Brian Whitman, and Paul Lamere · 2011
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Temporal pooling and multiscale learning for automatic annotation and ranking of music audio
Philippe Hamel, Simon Lemieux, Yoshua Bengio, and Douglas Eck · 2011
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Theano: new features and speed improvements
Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, James Bergstra, Ian Goodfellow, Arnaud Bergeron, Nicolas Bouchard, David Warde-Farley, and Yoshua Bengio · 2012
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Rethinking automatic chord recognition with convolutional neural networks
Eric J Humphrey and Juan P Bello · 2012
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An introduction to the psychology of hearing
Brian CJ Moore · 2012
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Multiscale approaches to music audio feature learning
Sander Dieleman and Benjamin Schrauwen · 2013
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Deep convolutional neural networks for lvcsr
Tara N Sainath, Abdel-rahman Mohamed, Brian Kingsbury, and Bhuvana Ramabhadran · 2013
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Deep content-based music recommendation
Aaron Van den Oord, Sander Dieleman, and Benjamin Schrauwen · 2013
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End-to-end learning for music audio
Sander Dieleman and Benjamin Schrauwen · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Improved musical onset detection with convolutional neural networks
Jan Schluter and Sebastian Bock · 2014
Keras: Deep learning library for theano and tensorflow
François Chollet · 2015
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Music boundary detection using neural networks on spectrograms and self-similarity lag matrices
Thomas Grill and Jan Schlüter · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Content-aware collaborative music recommendation using pre-trained neural networks
Dawen Liang, Minshu Zhan, and Daniel PW Ellis · 2015
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Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Boundary detection in music structure analysis using convolutional neural networks
Karen Ullrich, Jan Schlüter, and Thomas Grill · 2014
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Transfer learning by supervised pre-training for audio-based music classification
Aäron Van Den Oord, Sander Dieleman, and Benjamin Schrauwen · 2014
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Auralisation of deep convolutional neural networks: Listening to learned features
Keunwoo Choi, George Fazekas, Mark Sandler, and Jeonghee Kim · 2015
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Juhan Nam, Jorge Herrera, and Kyogu Lee · 2015
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Learning the speech front-end with raw waveform cldnns
Tara N Sainath, Ron J Weiss, Andrew Senior, Kevin W Wilson, and Oriol Vinyals · 2015
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An end-to-end neural network for polyphonic music transcription
Siddharth Sigtia, Emmanouil Benetos, and Simon Dixon · 2015
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Deep karaoke: Extracting vocals from musical mixtures using a convolutional deep neural network
Andrew JR Simpson, Gerard Roma, and Mark D Plumbley · 2015
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