Chord-Conditioned Melody Harmonization with Controllable Harmonicity

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“An expert system for harmonizing four-part chorales,”
Kemal Ebcioglu, · 1986
Earlier work this paper cites.
“Long short-term memory,”
Sepp Hochreiter and Jürgen Schmidhuber, · 1997
Earlier work this paper cites.
“Bidirectional recurrent neural networks,”
Mike Schuster and Kuldip K. Paliwal, · 1997
Earlier work this paper cites.
“Realtime chord recognition of musical sound: a system using common lisp music,”
Takuya Fujishima, · 1999
Earlier work this paper cites.
“Detecting harmonic change in musical audio,”
Original
Christopher Harte, Mark Sandler, and Martin Gasser, · 2006
Earlier work this paper cites.
“Music21: A toolkit for computer-aided musicology and symbolic music data,”
Michael Scott Cuthbert and Christopher Ariza, · 2010
Earlier work this paper cites.
“Improving neural networks by preventing co-adaptation of feature detectors,”
Original
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov, · 2012
Earlier work this paper cites.

“Batch normalization: Accelerating deep network training by reducing internal covariate shift,”
Sergey Ioffe and Christian Szegedy, · 2015
Cited alongside, same era.
“Automatic stylistic composition of bach chorales with deep LSTM,”
Feynman T. Liang, Mark Gotham, Matthew Johnson, and Jamie Shotton, · 2017
Cited alongside, same era.
“Deepbach: a steerable model for bach chorales generation,”
Gaëtan Hadjeres, François Pachet, and Frank Nielsen, · 2017
Cited alongside, same era.
“Bacher than bach? on musicologically informed ai-based bach chorale harmonization,”
Alexander Leemhuis, Simon Waloschek, and Aristotelis Hadjakos, · 2019
Cited alongside, same era.
“The bach doodle: Approachable music composition with machine learning at scale,”
Original
Cheng-Zhi Anna Huang, Curtis Hawthorne, Adam Roberts, Monica Dinculescu, James Wexler, Leon Hong, and Jacob Howcroft, · 2019
Cited alongside, same era.

“Bach style music authoring system based on deep learning,”
Original
Minghe Kong and Lican Huang, · 2021
Later among the works it cites.
“Bachmmachine: An interpretable and scalable model for algorithmic harmonization for four-part baroque chorales,”
Original
Yunyao Zhu, Stephen Hahn, Simon Mak, Yue Jiang, and Cynthia Rudin, · 2021
Later among the works it cites.
“Melody harmonization using orderless nade, chord balancing, and blocked gibbs sampling,”
Chung-En Sun, Yi-Wei Chen, Hung-Shin Lee, Yen-Hsing Chen, and Hsin-Min Wang, · 2021
Later among the works it cites.
“Surprisenet: Melody harmonization conditioning on user-controlled surprise contours,”
Original
Yi-Wei Chen, Hung-Shin Lee, Yen-Hsing Chen, and Hsin-Min Wang, · 2021
Later among the works it cites.
“Efficient and training-free control of language generation,”

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Reading the bibliography…

Chord-Conditioned Melody Harmonization with Controllable Harmonicity · Around

“An expert system for harmonizing four-part chorales,”
Kemal Ebcioglu, · 1986
Earlier work this paper cites.
“Long short-term memory,”
Sepp Hochreiter and Jürgen Schmidhuber, · 1997
Earlier work this paper cites.
“Bidirectional recurrent neural networks,”
Mike Schuster and Kuldip K. Paliwal, · 1997
Earlier work this paper cites.
“Realtime chord recognition of musical sound: a system using common lisp music,”
Takuya Fujishima, · 1999
Earlier work this paper cites.
“Detecting harmonic change in musical audio,”
Original
Christopher Harte, Mark Sandler, and Martin Gasser, · 2006
Earlier work this paper cites.
“Music21: A toolkit for computer-aided musicology and symbolic music data,”
Michael Scott Cuthbert and Christopher Ariza, · 2010
Earlier work this paper cites.
“Improving neural networks by preventing co-adaptation of feature detectors,”
Original
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov, · 2012
Earlier work this paper cites.

“Batch normalization: Accelerating deep network training by reducing internal covariate shift,”
Sergey Ioffe and Christian Szegedy, · 2015
Cited alongside, same era.
“Automatic stylistic composition of bach chorales with deep LSTM,”
Feynman T. Liang, Mark Gotham, Matthew Johnson, and Jamie Shotton, · 2017
Cited alongside, same era.
“Deepbach: a steerable model for bach chorales generation,”
Gaëtan Hadjeres, François Pachet, and Frank Nielsen, · 2017
Cited alongside, same era.
“Bacher than bach? on musicologically informed ai-based bach chorale harmonization,”
Alexander Leemhuis, Simon Waloschek, and Aristotelis Hadjakos, · 2019
Cited alongside, same era.
“The bach doodle: Approachable music composition with machine learning at scale,”
Original
Cheng-Zhi Anna Huang, Curtis Hawthorne, Adam Roberts, Monica Dinculescu, James Wexler, Leon Hong, and Jacob Howcroft, · 2019
Cited alongside, same era.

“Bach style music authoring system based on deep learning,”
Original
Minghe Kong and Lican Huang, · 2021
Later among the works it cites.
“Bachmmachine: An interpretable and scalable model for algorithmic harmonization for four-part baroque chorales,”
Original
Yunyao Zhu, Stephen Hahn, Simon Mak, Yue Jiang, and Cynthia Rudin, · 2021
Later among the works it cites.
“Melody harmonization using orderless nade, chord balancing, and blocked gibbs sampling,”
Chung-En Sun, Yi-Wei Chen, Hung-Shin Lee, Yen-Hsing Chen, and Hsin-Min Wang, · 2021
Later among the works it cites.
“Surprisenet: Melody harmonization conditioning on user-controlled surprise contours,”
Original
Yi-Wei Chen, Hung-Shin Lee, Yen-Hsing Chen, and Hsin-Min Wang, · 2021
Later among the works it cites.
“Efficient and training-free control of language generation,”

alphaXiv searches the wider corpus for related work and actual follow-ups.

alphaXiv is searching for related work…