The Audio Engineering Society invites academic and industry audio researchers and practitioners to participate in the first AES event highlighting Machine Learning. The symposium will focus on machine learning as it relates to applications in digital signal processing and audio engineering. Topics will include, but are not limited to, practical applications of machine learning in audio engineering, including:
The virtual event will take place online September 28-29th and include nine hours of programming consisting of pre-recorded presentations with live Q and A and parallel sessions in dedicated breakout rooms. Additionally, each day of programming will conclude with an online social hour. The symposium will be programmed over two four-hour-days to maximally accommodate participants in different geographical regions.
Cost $25 members, $150 non-members (includes 1-year AES membership)