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ML4Music 2021 : Special Issue: Machine Learning Applied to Music/Audio Signal Processing (Electronics)

Submission Deadline: Feb 28, 2021


The main aim of this Special Issue is to seek high-quality submissions that present novel data-driven methods for audio/music signal processing and analysis and address main challenges of applying machine learning to audio signals. Within the general area of audio and music information retrieval as well as audio and music processing.

Call For Paper

The topics of interest include, but are not limited to, the following:

  • unsupervised and semi-supervised systems for audio/music processing and analysis
  • machine learning methods for raw audio signal analysis and transformation
  • approaches to understanding and controlling the behavior of audio processing systems such as visualization, auralization, or regularization methods
  • generative systems for sound synthesis and transformation
  • adversarial attacks and the identification of 'deepfakes' in audio and music
  • audio and music style transfer methods
  • audio recording and music production parameter estimation
  • data collection methods, active learning, and interactive machine learning for data-driven approaches

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