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Existing automatic music generation approaches that feature deep learning can be broadly classified into two types: raw audio models and symbolic models.
Learning long-term dependencies with gradient descent is difficult
Y. Bengio, P. Simard, and P. Frasconi · 1994
Earlier work this paper cites.
Neural network composition by prediction: Exploring the benefits of psychophysical constraints and multiscale processing
M. C. Mozer · 1994
Earlier work this paper cites.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
Modeling temporal dependencies in high-dimensional sequences: Application to polyphonic music generation and transcription
N. Boulanger-Lewandowski, Y. Bengio, and P. Vincent · 2012
Earlier work this paper cites.
Empirical evaluation of gated recurrent neural networks on sequence modeling
J. Chung, C. Gulcehre, K. Cho, and Y. Bengio · 2014
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Modelling high-dimensional sequences with LSTM-RTRBM: Application to polyphonic music generation
Q. Lyu, J. Zhu Z. Wu, and H. Meng · 2015
Earlier work this paper cites.
Gruv: Algorithmic music generation using recurrent neural networks
A. Nayebi and M. Vitelli · 2015
Earlier work this paper cites.
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I. Goodfellow, Y. Bengio, and A. Courville · 2016
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A. Huang and R. Wu · 2016
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T. Le Paine, P. Khorrami, S. Chang, Y. Zhang, P. Ramachandran, M. A. Hasegawa-Johnson, and T. S. Huang · 2016
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Chord2Vec: Learning musical chord embeddings
S. Madjiheurem, L. Qu, and C. Walder · 2016
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Deep learning techniques for music generation—a survey
J. Briot, G. Hadjeres, and F. Pachet · 2017
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J. Engel, C. Resnick, A. Roberts, S. Dieleman, M. Norouzi, D. Eck, and K. Simonyan · 2017
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DeepBach: a steerable model for Bach chorales generation
G. Hadjeres, F. Pachet, and F. Nielsen · 2017
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Generating polyphonic music using tied parallel networks
D. D. Johnson · 2017
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Performance RNN: Generating music with expressive timing and dynamics, 2017
I. Simon and S. Oore · 2017
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Learning features of music from scratch
J. Thickstun, Z. Harchaoui, and S. M Kakade · 2017
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Music transcription modelling and composition using deep learning
B. L. Sturm, J. F. Santos, O. Ben-Tal, and I. Korshunova · 2016
Cited alongside, same era.
WaveNet: A generative model for raw audio
A. van den Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. Senior, and K. Kavukcuoglu · 2016
Cited alongside, same era.
A neural parametric singing synthesizer
M. Blaauw and J. Bonada · 2017
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Parallel wavenet: Fast high-fidelity speech synthesis
A. van den Oord, Y. Li, I. Babuschkin, K. Simonyan, O. Vinyals, K. Kavukcuoglu, G. van den Driessche, E. Lockhart, L. C. Cobo, F. Stimberg, N. Casagrande, D. Grewe, S. Noury, S. Dieleman, E. Elsen, N. Kalchbrenner, H. Zen, A. Graves, H. King, T. Walters, D. Belov, and D. Hassabis · 2017
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An end to end model for automatic music generation: Combining deep raw and symbolic audio networks
R. Manzelli, V. Thakkar, A. Siahkamari, and B. Kulis · 2018
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