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Music Inpainting is the task of filling in missing or lost information in a piece of music.
On information and sufficiency
Solomon Kullback and Richard A Leibler · 1951
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Rank analysis of incomplete block designs: I. The method of paired comparisons
Ralph Allan Bradley and Milton E Terry · 1952
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Bidirectional recurrent neural networks
Mike Schuster and Kuldip K Paliwal · 1997
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Image inpainting
Marcelo Bertalmio, Guillermo Sapiro, Vincent Caselles, and Coloma Ballester · 2000
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MM algorithms for generalized Bradley-Terry models
David R Hunter et al · 2004
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A criterion-related validity test of selected indicators of musical sophistication using expert ratings
Joy E Ollen · 2006
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Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol · 2008
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Modeling temporal dependencies in high-dimensional sequences: Application to polyphonic music generation and transcription
Nicolas Boulanger-Lewandowski, Yoshua Bengio, and Pascal Vincent · 2012
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Audio inpainting
Amir Adler, Valentin Emiya, Maria G Jafari, Michael Elad, Rémi Gribonval, and Mark D. Plumbley · 2012
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Audio declipping via nonnegative matrix factorization
Çağdaş Bilen, Alexey Ozerov, and Patrick Pérez · 2015
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Joint audio inpainting and source separation
Çağdaş Bilen, Alexey Ozerov, and Patrick Pérez · 2015
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Maximum entropy model for melodic patterns
Jason Sakellariou, Francesca Tria, Vittorio Loreto, and François Pachet · 2015
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An empirical exploration of recurrent network architectures
Rafal Jozefowicz, Wojciech Zaremba, and Ilya Sutskever · 2015
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Generating sentences from a continuous space
Samuel R Bowman, Luke Vilnis, Oriol Vinyals, Andrew M Dai, Rafal Jozefowicz, and Samy Bengio · 2015
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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The machine learning algorithm as creative musical tool
Rebecca Fiebrink, Baptiste Caramiaux, R Dean, and A McLean · 2016
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Algorithmic composition of melodies with deep recurrent neural networks
Florian Colombo, Samuel P. Muscinelli, Alexander Seeholzer, Johanni Brea, and Wulfram Gerstner · 2016
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Music transcription modelling and composition using deep learning
Bob L Sturm, Joao Felipe Santos, Oded Ben-Tal, and Iryna Korshunova · 2016
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An efficient algorithm for clipping detection and declipping audio
Christopher Laguna and Alexander Lerch · 2016
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Deep learning for music generation: Challenges and directions
Jean-Pierre Briot and François Pachet · 2018
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A hierarchical hatent 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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This time with feeling: Learning expressive musical performance
Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, and Karen Simonyan · 2018
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Anticipation-RNN: Enforcing unary constraints in sequence generation, with application to interactive music generation
Gaëtan Hadjeres and Frank Nielsen · 2018
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A unit selection methodology for music generation using deep neural networks
Mason Bretan, Gil Weinberg, and Larry Heck · 2016
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MidiNet: A convolutional generative adversarial network for symbolic-domain music generation
Li-Chia Yang, Szu-Yu Chou, and Yi-Hsuan Yang · 2017
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Deep learning techniques for music generation-A survey
Jean-Pierre Briot, Gaëtan Hadjeres, and François Pachet · 2017
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Using artificial intelligence to augment human intelligence
Shan Carter and Michael Nielsen · 2017
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GLSR-VAE: Geodesic latent space regularization for variational autoencoder architectures
Gaëtan Hadjeres, Frank Nielsen, and François Pachet · 2017
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DeepBach: A steerable model for Bach chorales generation
Gaëtan Hadjeres, François Pachet, and Frank Nielsen · 2017
Cited alongside, same era.
Inpainting of long audio segments with similarity graphs
Nathanael Perraudin, Nicki Holighaus, Piotr Majdak, and Peter Balazs · 2018
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Learning latent representations of music to generate interactive musical palettes
Adam Roberts, Jesse Engel, Sageev Oore, and Douglas Eck · 2018
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Sparse non-local similarity modeling for audio inpainting
Ichrak Toumi and Valentin Emiya · 2018
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Imposing higher-level structure in polyphonic music generation using convolutional restricted boltzmann machines and constraints
Stefan Lattner, Maarten Grachten, and Gerhard Widmer · 2018
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A predictive model for music based on learned interval representations
Stefan Lattner, Maarten Grachten, and Gerhard Widmer · 2018
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Audio-to-score alignment using transposition-invariant features
Andreas Arzt and Stefan Lattner · 2018
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Learning a latent space of multitrack measures
Ian Simon, Adam Roberts, Colin Raffel, Jesse Engel, Curtis Hawthorne, and Douglas Eck · 2018
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MIDI-VAE: Modeling dynamics and instrumentation of music with applications to style transfer
Gino Brunner, Andres Konrad, Yuyi Wang, and Roger Wattenhofer · 2018
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A model-agnostic web interface for interactive music composition by inpainting
Théis Bazin, Ashis Pati, and Gaëtan Hadjeres · 2018
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Music transformer
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M Dai, Matthew D Hoffman, Monica Dinculescu, and Douglas Eck · 2019
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Latent space regularization for explicit control of musical attributes
Ashis Pati and Alexander Lerch · 2019
Closest in time.