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In music domain, feature learning has been conducted mainly in two ways: unsupervised learning based on sparse representations or supervised learning by semantic labels such as music genre.
Signature verification using a “siamese” time delay neural network
Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, and Roopak Shah · 1994
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Musical genre classification of audio signals
George Tzanetakis and Perry Cook · 2002
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Unsupervised feature learning for audio classification using convolutional deep belief networks
Honglak Lee, Peter Pham, Yan Largman, and Andrew Y Ng · 2009
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The million song dataset
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Music Similarity Estimation with the Mean-Covariance Restricted Boltzmann Machine
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Erik M. Schmidt and Youngmoo E. Kim · 2011
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Juhan Nam, Jorge Herrera, Malcolm Slaney, and Julius O. Smith · 2012
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Unsupervised learning of local features for music classification
Jan Wülfing and Martin Riedmiller · 2012
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Eric Humphrey, Juan Bello, and Yann LeCun · 2013
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Dual-layer bag-of-frames model for music genre classification
Siamese neural networks for one-shot image recognition
Gregory Koch, Richard Zemel, and Ruslan Salakhutdinov · 2015
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Automatic tagging using deep convolutional neural networks
Keunwoo Choi, George Fazekas, and Mark Sandler · 2016
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Learning temporal features using a deep neural network and its application to music genre classification
Il-Young Jeong and Kyogu Lee · 2016
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Experimenting with musically motivated convolutional neural networks
Jordi Pons, Thomas Lidy, and Xavier Serra · 2016
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Convolutional recurrent neural networks for music classification
Keunwoo Choi, György Fazekas, Mark Sandler, and Kyunghyun Cho · 2017
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Transfer learning for music classification and regression tasks
Keunwoo Choi, György Fazekas, Mark Sandler, and Kyunghyun Cho · 2017
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Chin-Chia Yeh, Li Su, and Yi-Hsuan Yang · 2013
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End-to-end learning for music audio
Sander Dieleman and Benjamin Schrauwen · 2014
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Codebook-based audio feature representation for music information retrieval
Yonatan Vaizman, Brian McFee, and Gert Lanckriet · 2014
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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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Deep learning and music adversaries
Corey Kereliuk, Bob L Sturm, and Jan Larsen · 2015
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Multi-level and multi-scale feature aggregation using pretrained convolutional neural networks for music auto-tagging
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Deep ranking: Triplet matchnet for music metric learning
Rui Lu, Kailun Wu, Zhiyao Duan, and Changshui Zhang · 2017
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Content-based representations of audio using siamese neural networks
Pranay Manocha, Rohan Badlani, Anurag Kumar, Ankit Shah, Benjamin Elizalde, and Bhiksha Raj · 2018
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