Understand
The ubiquity of sound synthesizers has reshaped music production and even entirely defined new music genres.
- However, the increasing complexity and number of parameters in modern synthesizers make them harder to master.
- Hence, the development of methods allowing to easily create and explore with synthesizers is a crucial need.
- Here, we introduce a novel formulation of audio synthesizer control.
Built on
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Ricardo A Garcia, · 2002
Earlier work this paper cites.
The theory and technique of electronic music
Miller Puckette, · 2007
Earlier work this paper cites.
“Auto-encoding variational bayes,”
Diederik P. Kingma and Max Welling, · 2013
Earlier work this paper cites.
“Synthassist: an audio synthesizer programmed with vocal imitation,”
Mark Cartwright and Bryan Pardo, · 2014
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“Pattern recognition and machine learning,”
Christopher M. Bishop and Tom M. Mitchell, · 2014
Earlier work this paper cites.
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Then
“Wasserstein auto-encoders,”
Ilya Tolstikhin, Olivier Bousquet, and Bernhard Schölkopf, · 2017
Later among the works it cites.
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George Papamakarios, Theo Pavlakou, and Iain Murray, · 2017
Later among the works it cites.
“Automatic programming of vst sound synthesizers using deep networks and other techniques,”
Matthew John Yee-King, Leon Fedden, and Mark d’Inverno, · 2018
Later among the works it cites.
“Generative timbre spaces with variational audio synthesis,”
Philippe Esling, Adrien Bitton, and Axel Chemla-Romeu-Santos, · 2018
Later among the works it cites.
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