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Machine learning is challenging the way we make music.
Conditional LSTM-GAN for melody generation from lyrics
Yi Yu and Simon Canales · 1908
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AI methods for algorithmic composition: A survey, a critical view and future prospects
George Papadopoulos and Geraint Wiggins · 1999
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Analysis and synthesis of Palestrina-style counterpoint using markov chains
Mary Farbood and Bernd Schöner · 2001
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Musical harmonization with constraints: A survey
François Pachet and Pierre Roy · 2001
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The OM Composer’s Book 1
Carlos Agon, Gérard Assayag, and Jean Bresson · 2006
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Using thematic analysis in psychology
Virginia Braun and Victoria Clarke · 2006
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A qualititative approach to hci research
Anne Adams, Peter Lunt, and Paul Cairns · 2008
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The OM Composer’s Book 2
Jean Bresson, Carlos Agon, and Gérard Assayag · 2008
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MySong: automatic accompaniment generation for vocal melodies
Ian Simon, Dan Morris, and Sumit Basu · 2008
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Data-driven exploration of musical chord sequences
Eric Nichols, Dan Morris, and Sumit Basu · 2009
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Sketching user experiences: getting the design right and the right design
Bill Buxton · 2010
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BandNet: A neural network-based, multi-instrument Beatles-style MIDI music composition machine
Yichao Zhou, Wei Chu, Sam Young, and Xin Chen · 2010
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Real-time human interaction with supervised learning algorithms for music composition and performance
Rebecca Anne Fiebrink · 2011
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Social-EQ: Crowdsourcing an equalization descriptor map
Mark Brozier Cartwright and Bryan Pardo · 2013
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Chord-sequence-factory: A chord arrangement system modifying factorized chord sequence probabilities
Satoru Fukayama, Kazuyoshi Yoshii, and Masataka Goto · 2013
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Composing fifth species counterpoint music with a variable neighborhood search algorithm
Dorien Herremans and Kenneth Sörensen · 2013
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A functional approach to automatic melody harmonisation
Hendrik Vincent Koops, José Pedro Magalhães, and W. Bas de Haas · 2013
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What can “thematic analysis” offer health and wellbeing researchers?
Virginia Braun and Victoria Clarke · 2014
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Active learning of intuitive control knobs for synthesizers using gaussian processes
Cheng-Zhi Anna Huang, David Duvenaud, Kenneth C. Arnold, Brenton Partridge, Josiah W. Oberholtzer, and Krzysztof Z. Gajos · 2014
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Chordripple: Recommending chords to help novice composers go beyond the ordinary
Cheng-Zhi Anna Huang, David Duvenaud, and Krzysztof Z Gajos · 2016
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Can computers foster human users’ creativity? Theory and praxis of mixed-initiative co-creativity
Antonios Liapis, Georgios N. Yannakakis, Constantine Alexopoulos, and Phil Lopes · 2016
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Samplernn: An unconditional end-to-end neural audio generation model
Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron Courville, and Yoshua Bengio · 2016
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Assisted lead sheet composition using FlowComposer
Alexandre Papadopoulos, Pierre Roy, and François Pachet · 2016
Cited alongside, same era.
An introduction to musical metacreation
Philippe Pasquier, Arne Eigenfeldt, Oliver Bown, and Shlomo Dubnov · 2016
Cited alongside, same era.
WaveNet: A generative model for raw audio
Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, and Koray Kavukcuoglu · 2016
Cited alongside, same era.
Deep learning techniques for music generation-a survey
Jean-Pierre Briot, Gaëtan Hadjeres, and François Pachet · 2017
Cited alongside, same era.
Mixed-initiative creative interfaces
Sebastian Deterding, Jonathan Hook, Rebecca Fiebrink, Marco Gillies, Jeremy Gow, Memo Akten, Gillian Smith, Antonios Liapis, and Kate Compton · 2017
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Learning to generate music with sentiment
Lucas Ferreira and Jim Whitehead · 2019
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The Bach Doodle: Approachable music composition with machine learning at scale
Cheng-Zhi Anna Huang, Curtis Hawthorne, Adam Roberts, Monica Dinculescu, James Wexler, Leon Hong, and Jacob Howcroft · 2019
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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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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
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Magenta Studio: Augmenting creativity with deep learning in Ableton Live
Adam Roberts, Jesse Engel, Yotam Mann, Jon Gillick, Claire Kayacik, Signe Nørly, Monica Dinculescu, Carey Radebaugh, Curtis Hawthorne, and Douglas Eck · 2019
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DeepBach: a steerable model for Bach chorales generation
Gaëtan Hadjeres, François Pachet, and Frank Nielsen · 2017
Cited alongside, same era.
A functional taxonomy of music generation systems
Dorien Herremans, Ching-Hua Chuan, and Elaine Chew · 2017
Cited alongside, same era.
Counterpoint by convolution
Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts, Aaron Courville, and Doug Eck · 2017
Cited alongside, same era.
Hierarchical variational autoencoders for music
Adam Roberts and Jesse Engel · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Creative writing with a machine in the loop: Case studies on slogans and stories
Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, and Noah A Smith · 2018
Cited alongside, same era.
Enabling factorized piano music modeling and generation with the maestro dataset
Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, and Douglas Eck · 2018
Cited alongside, same era.
Bob L Sturm, Oded Ben-Tal, Una Monaghan, Nick Collins, Dorien Herremans, Elaine Chew, Gaëtan Hadjeres, Emmanuel Deruty, and François Pachet · 2019
Later among the works it cites.
https://www.ableton.com/en/live/
Ableton Live · 2020
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From artificial neural networks to deep learning for music generation – history, concepts and trends, 2020
Jean-Pierre Briot · 2020
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12 songs created by AI how musicians are already embracing new technologies
Barbican Centre · 2020
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Future 25: Holly herndon, artist and inventor of spawn
Jack Denton · 2020
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Jukebox: A generative model for music
Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, and Ilya Sutskever · 2020
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Music creation by example
Emma Frid, Celso Gomes, and Zeyu Jin · 2020
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Workshop on human-AI co-creation with generative models
Werner Geyer, Lydia B. Chilton, Ranjitha Kumar, and Adam Tauman Kalai · 2020
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Pop music transformer: Generating music with rhythm and harmony
Yu-Siang Huang and Yi-Hsuan Yang · 2020
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Talk to Transformer
Adam King · 2020
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Novice-AI music co-creation via AI-steering tools for deep generative models
Ryan Louie, Andy Coenen, Cheng Zhi Huang, Michael Terry, and Carrie J. Cai · 2020
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Holly herndon: We are AI
Jonathan Maas · 2020
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How Yacht used machine learning to create their new album
Nathan Mattise · 2020
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A multitask music model with BERT, Transformer-XL and Seq2Seq
Andrew Shaw · 2020
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Musicautobot
Andrew Shaw · 2020
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AI Song Contest
Karen van Dijk · 2020
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