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Analogy-making is a key method for computer algorithms to generate both natural and creative music pieces.
Learning a trajectory using adjoint functions and teacher forcing
Nikzad Benny Toomarian and Jacob Barhen · 1992
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Alan Watt and Mark Watt · 1992
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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The analysis of variance
Henry Scheffe · 1999
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Image analogies
Aaron Hertzmann, Charles E Jacobs, Nuria Oliver, Brian Curless, and David H Salesin · 2001
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Playing mozart by analogy: Learning multi-level timing and dynamics strategies
Gerhard Widmer and Asmir Tobudic · 2003
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Nottingham database, 2011
E. Foxley · 2011
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Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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A neural algorithm of artistic style
Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2015
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Y Gao · 2017
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Ricky TQ Chen, Xuechen Li, Roger Grosse, and David Duvenaud · 2018
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Tero Karras, Samuli Laine, and Timo Aila · 2018
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Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Diane Bouchacourt, Ryota Tomioka, and Sebastian Nowozin · 2018
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Midi-vae: Modeling dynamics and instrumentation of music with applications to style transfer
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Hyunjik Kim and Andriy Mnih · 2018
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Yingzhen Li and Stephan Mandt · 2018
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A hierarchical latent vector model for learning long-term structure in music
Adam Roberts, Jesse Engel, Colin Raffel, Curtis Hawthorne, and Douglas Eck · 2018
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Cover song synthesis by analogy
Christopher J Tralie · 2018
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Ruihan Yang, Tianyao Chen, Yiyi Zhang, and Gus Xia · 2019
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