Can Audio Quality Criteria Be Classified by Machines Using Artificial Intelligence?

The IEEE Broadcast Technology Society and the Society of Motion Picture and Television Engineers (SMPTE) are promoting a webcast on March 24 to discuss the use of machine learning and artificial intelligence to address audio quality classification. The topic will be addressed by Musician Tyler Morris, Tufts Graduate School of Electrical Engineering, Undergraduate WPI Electrical and Computer Engineering, and Dr. Karen Panetta, Dean of Graduate Education for the School of Engineering, authors of a paper on the subject.

The Society of Motion Picture and Television Engineers (SMPTE) will host its annual technical conference and exhibition on Nov. 10-12 as an interactive and immersive remote experience with a rich array of learning and networking opportunities. The unique SMPTE 2020 Experience will expand the organization's reach thanks to a promising model and unique technical platform.

The IP Showcase returns to the 2019 NAB Show for the third year, promoted by the AES, AIMS, AMWA, EBU, SMPTE, and VSF. The showcase will present educational opportunities and updates on the industry's transition to open-standards-based IP, allowing visitors to learn about the implementation of IP infrastructures for real-time professional media applications and obtain a clear view of the latest technical achievements and advances on the horizon. Highlights of market deployments from facilities around the world will be also part of the IP Showcase.