2019

Universal audio synthesizer control with normalizing flows

Esling, Philippe, Masuda, Naotake, Bardet, Adrien et al.

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,”

    Original

    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

    Earlier work this paper cites.

  • “Pattern recognition and machine learning,”

    Christopher M. Bishop and Tom M. Mitchell, · 2014

    Earlier work this paper cites.

Similar

  • “Variational inference with normalizing flows,”

    Danilo Rezende and Shakir Mohamed, · 2015

    Cited alongside, same era.

  • “beta-vae: Learning basic visual concepts with a constrained variational framework,”

    Irina Higgins, Loic Matthey, Arka Pal, Shakir Mohamed, and Alexander Lerchner, · 2016

    Cited alongside, same era.

  • “How to train deep variational autoencoders and probabilistic ladder networks,”

    Original

    Casper K. Sønderby, Tapani Raiko, Lars Maaløe, Søren K. Sønderby, and Ole Winther, · 2016

    Cited alongside, same era.

  • “Variational lossy autoencoder,”

    Xi Chen, Diederik P Kingma, Tim Salimans, Ilya Sutskever, and Pieter Abbeel, · 2016

    Cited alongside, same era.

  • “Improved variational inference with inverse autoregressive flow,”

    Durk P Kingma, Tim Salimans, Rafal Jozefowicz, Xi Chen, Ilya Sutskever, and Max Welling, · 2016

    Cited alongside, same era.

Then

  • “Wasserstein auto-encoders,”

    Ilya Tolstikhin, Olivier Bousquet, and Bernhard Schölkopf, · 2017

    Later among the works it cites.

  • “Masked autoregressive flow for density estimation,”

    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,”

    Original

    Philippe Esling, Adrien Bitton, and Axel Chemla-Romeu-Santos, · 2018

    Later among the works it cites.

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