|Chair:||Andy Sarroff||Send Email|
|Chair:||Gordon Wichern||Send Email|
|Vice Chair:||Christian Uhle||Send Email|
|Vice Chair:||Brecht De Man||Send Email|
The Technical Committee on Machine Learning and Artificial Intelligence (TC-MLAI) focuses on applications of machine learning and artificial intelligence in audio, with discussions on topics such as: best practices, data, licensing, social and cultural aspects, technical innovations, and ethics. The goal of the committee is to drive discussion and exchange information by organizing and disseminating workshops, symposia, tutorials, and technical documents. The TC-MLAI acts as a point of contact and a bridge to other AES technical committees, the AES community at large, and other organizations involved in ML and AI for audio.
To request membership in this Technical Committee please email the Chair by using the link above.