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We introduce the Expanded Groove MIDI dataset (E-GMD), an automatic drum transcription (ADT) dataset that contains 444 hours of audio from 43 drum kits, making it an order of magnitude larger than similar datasets, and the first with human-performed velocity annotations.
Learning to Groove with Inverse Sequence Transformations
Gillick, J.; Roberts, A.; Engel, J.; Eck, D.; and Bamman, D. 2019 · 1905
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Further steps towards drum transcription of polyphonic music
Dittmar, C.; and Uhle, C. 2004 · 2004
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ENST-Drums: an extensive audio-visual database for drum signals processing
Gillet, O.; and Richard, G. 2006 · 2006
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Theory of games and economic behavior (commemorative edition)
Von Neumann, J.; Morgenstern, O.; and Kuhn, H. W. 2007 · 2007
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Drumkit transcription via convolutive NMF
Lindsay-Smith, H.; McDonald, S.; and Sandler, M. 2012 · 2012
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An open-source drum transcription system for Pure Data and Max MSP
Miron, M.; Davies, M. E. P.; and Gouyon, F. 2013 · 2013
Earlier work this paper cites.
An open-source drum transcription system for Pure Data and Max MSP
Miron, M.; Davies, M. E. P.; and Gouyon, F. 2013 · 2013
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mir_eval: A transparent implementation of common MIR metrics
Raffel, C.; McFee, B.; Humphrey, E. J.; Salamon, J.; Nieto, O.; Liang, D.; Ellis, D. P.; and Raffel, C. C. 2014 · 2014
Earlier work this paper cites.
Drum Transcription Using Partially Fixed Non-Negative Matrix Factorization with Template Adaptation
Wu, C.-W.; and Lerch, A. 2015 · 2015
Earlier work this paper cites.
Automatic Drum Transcription using Bi-directional Recurrent Neural Networks
Stables, R.; Hockman, J.; and Southall, C. 2016 · 2016
Cited alongside, same era.
Recurrent Neural Networks for Drum Transcription
Vogl, R.; Dorfer, M.; and Knees, P. 2016 · 2016
Cited alongside, same era.
Regularizing and optimizing LSTM language models
Merity, S.; Keskar, N. S.; and Socher, R. 2017 · 2017
Cited alongside, same era.
Automatic Drum Transcription for Polyphonic Recordings Using Soft Attention Mechanisms and Convolutional Neural Networks
Southall, C.; Stables, R.; and Hockman, J. 2017 · 2017
Cited alongside, same era.
MDB Drums: An annotated subset of MedleyDB for automatic drum transcription
Southall, C.; Wu, C.-W.; Lerch, A.; and Hockman, J. 2017 · 2017
Cited alongside, same era.
mixup: Beyond empirical risk minimization
Zhang, H.; Cisse, M.; Dauphin, Y. N.; and Lopez-Paz, D. 2017 · 2017
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Increasing Drum Transcription Vocabulary Using Data Synthesis
Cartwright, M. 2018 · 2018
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Onsets and frames: Dual-objective piano transcription
Hawthorne, C.; Elsen, E.; Song, J.; Roberts, A.; Simon, I.; Raffel, C.; Engel, J.; Oore, S.; and Eck, D. 2018 · 2018
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Towards Multi-Instrument Drum Transcription
Vogl, R.; Widmer, G.; and Knees, P. 2018 · 2018
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A Review of Automatic Drum Transcription
Wu, C.-W.; Dittmar, C.; Southall, C.; Vogl, R.; Widmer, G.; Hockman, J.; Muller, M.; and Lerch, A. 2018 · 2018
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From Labeled to Unlabeled Data – On the Data Challenge in Automatic Drum Transcription
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Vogl, R.; Dorfer, M.; and Knees, P. 2017 · 2017
Cited alongside, same era.
Drum transcription from polyphonic music with recurrent neural networks
Vogl, R.; Dorfer, M.; and Knees, P. 2017 · 2017
Cited alongside, same era.
Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks
Vogl, R.; Dorfer, M.; Widmer, G.; and Knees, P. 2017 · 2017
Cited alongside, same era.
Real-Time Transcription and Separation of Drum Recordings Based on NMF Decomposition
Dittmar, C.; and Gärtner, D. 2014a
Cited in the paper.
Real-Time Transcription and Separation of Drum Recordings Based on NMF Decomposition
Dittmar, C.; and Gärtner, D. 2014b
Cited in the paper.
Improving Peak-picking Using Multiple Time-step Loss Functions
Southall, C.; Stables, R.; and Hockman, J. 2018a
Cited in the paper.
Player Vs Transcriber: A Game Approach To Data Manipulation For Automatic Drum Transcription
Southall, C.; Stables, R.; and Hockman, J. 2018b
Cited in the paper.
Wu, C.-W.; and Lerch, A. 2018 · 2018
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Deep Unsupervised Drum Transcription
Choi, K.; and Cho, K. 2019 · 2019
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Bayesian Drum Transcription Based on Nonnegative Matrix Factor Decomposition with a Deep Score Prior
Ueda, S.; Shibata, K.; Wada, Y.; Nishikimi, R.; Nakamura, E.; and Yoshii, K. 2019 · 2019
Later among the works it cites.