In addition to regular programming, the 2020 AES virtual event, Applications of Machine Learning in Audio is accepting proposals for parallel breakout sessions.
Accepted presenters will submit a pre-recorded video between 5 and 10 minutes long, which attendees of the symposium will have the opportunity to view beforehand. During the session, presenters will be online in an interactive video channel, where they may present more material (e.g., slides) and answer questions from attendees.
Note that submissions are not peer-reviewed, and one can present work that has been or will be submitted elsewhere (if the other venue does not explicitly forbid it). If the symposium receives more submissions than capacity allows, the program chairs will prioritize work that focuses on new results or unpublished work.
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)
Précis submission deadline: August 9, 2020
Notification of accepted presentations: August 23, 2020
Accepted presentation submission deadline: September 6, 2020