Fetching the paper…
Reading the bibliography…
Music generation has generally been focused on either creating scores or interpreting them.
Zur Theorie der offenen Form in der neuen Musik
Konrad Boehmer · 1967
Earlier work this paper cites.
Pattern in music
H A Simon and R K Sumner · 1968
Earlier work this paper cites.
Towards a generative theory of melody
B Lindblom and J Sundberg · 1970
Earlier work this paper cites.
On interpreting bach
H C Longuet-Higgins and M J Steedman · 1971
Earlier work this paper cites.
The perception of melodies
H C Longuet-Higgins · 1976
Earlier work this paper cites.
Dice music in the eighteenth century
Stephen Hedges · 1978
Earlier work this paper cites.
The perception of music
H C Longuet-Higgins · 1978
Earlier work this paper cites.
Harmonet: A neural net for harmonizing chorales in the style of j.s.bach
Hermann Hild, Johannes Feulner, and Wolfram Menzel · 1991
Earlier work this paper cites.
Music and Connectionism
Peter M. Todd and Gareth Loy, editors · 1991
Earlier work this paper cites.
Perception of just noticeable time displacement of a tone presented in a metrical sequence at different tempos, 1992
Anders Friberg and Johan Sundberg · 1992
Earlier work this paper cites.
Neural network composition by prediction: Exploring the benefits of psychophysical constraints and multiscale processing, 1994
Michael C. Mozer · 1994
Earlier work this paper cites.
Artificial neural networks based models for automatic performance of musical scores
R. Bresin · 1998
Earlier work this paper cites.
Musical Networks: Parallel Distributed Perception and Performance
Niall Griffith and Peter M. Todd, editors · 1999
Earlier work this paper cites.
Finding temporal structure in music: blues improvisation with lstm recurrent networks
D. Eck and J. Schmidhuber · 2002
Earlier work this paper cites.
The continuator: Musical interaction with style
François Pachet · 2003
Cited alongside, same era.
Overview of the kth rule system for musical performance
A. Friberg, R. Bresin, and J Sundberg · 2006
Cited alongside, same era.
Gaussian process regression for rendering music performance
Y. Taniguchi S. Makimoto K. Teramura, H. Okuma and S. Maeda · 2008
Cited alongside, same era.
Algorithmic Composition: Paradigms of Automated Music Generation
Gerhard Nierhaus · 2009
Cited alongside, same era.
Modeling temporal dependencies in high-dimensional sequences: Application to polyphonic music generation and transcription
Nicolas Boulanger-Lewandowski, Yoshua Bengio, and Pascal Vincent · 2012
Cited alongside, same era.
Linear basis models for prediction and analysis of musical expression
Maarten Grachten and Gerhard Widmer · 2012
Music transcription modelling and composition using deep learning
Bob Sturm, Joao Felipe Santos, Oded Ben-Tal, and Iryna Korshunova · 2016
Later among the works it cites.
A note on the evaluation of generative models
Lucas Theis, Aäron van den Oord, and Matthias Bethge · 2016
Later among the works it cites.
Wavenet: A generative model for raw audio
Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, and Koray Kavukcuoglu · 2016
Later among the works it cites.
Getting closer to the essence of music: The con espressione manifesto
Gerhard Widmer · 2016
Later among the works it cites.
Deep music: Towards musical dialogue
Mason Bretan, Sageev Oore, Jesse Engel, Douglas Eck, and Larry Heck · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
An overview of computer systems for expressive music performance
A. Kirke and E. R. Miranda · 2013
Cited alongside, same era.
An assessment of learned score features for modeling expressive dynamics in music
M. Grachten and F. Krebs · 2014
Cited alongside, same era.
Laminae: A stochastic modeling-based autonomous performance rendering system that elucidates performer characteristics
K. Okumura, S. Sako, and T. Kitamura · 2014
Cited alongside, same era.
Predicting expressive dynamics using neural networks
S. van Herwaarden, M. Grachten, and W. B. de Haas · 2014
Cited alongside, same era.
Locally-connected transformations for deep gmms
A. van den Oord and J. Dambre · 2015
Cited alongside, same era.
The basis mixer: A computational romantic pianist
C. E. Cancino Chacón and M. Grachten · 2016
Cited alongside, same era.
Jean-Pierre Briot, Gaëtan Hadjeres, and François Pachet · 2017
Later among the works it cites.
Neural audio synthesis of musical notes with wavenet autoencoders
Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, and Mohammad Norouzi · 2017
Later among the works it cites.
A functional taxonomy of music generation systems
Dorien Herremans, Ching-Hua Chuan, and Elaine Chew · 2017
Later among the works it cites.
Imposing higher-level structure in polyphonic music generation using convolutional restricted boltzmann machines and constraints, 2017
Stefan Lattner, Maarten Grachten, and Gerhard Widmer · 2017
Later among the works it cites.
Neural translation of musical style
Iman Malik and Carl Henrik Ek · 2017
Later among the works it cites.
Neural nets for generating music
Kyle McDonald · 2017
Later among the works it cites.
Recording of Chopin Piano Concerto No. 1 in E Minor, Op. 11, 1 s t 1^{st} movement, 2017
Sageev Oore · 2017
Later among the works it cites.
http://www.piano-e-competition.com/
International Piano-e-Competition · 2018
Closest in time.