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Topics will include, but are not limited to, practical applications of machine learning in audio engineering, including:

  • Automatic mixing
  • Audio source separation
  • Machine learning for audio visualization and effect control
  • Sourcing audio data for machine learning, legal issues, open datasets, etc.
  • Machine learning for audio capture and recording (e.g., assistive recording in poor acoustic contexts)

Please check back frequently as more details are added!

AES - Audio Engineering Society