|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.
These documents do not necessarily express the official position of the AES on the issues discussed at these meetings, and only represent the views of committee members participating in the discussion. Any unauthorized use of these publications is prohibited. Authorization must be obtained from the Executive Director of the AES: Email, Tel: +1 212 661 8528, Address: 551 Fifth Ave., Suite 1225, New York, New York 10176, USA.
2021-6-7 TC MLAI Meeting Minutes 2021-06-02
Description: TC MLAI Meeting Minutes 2021-06-02
|Brent Harshbarger||Gerald Schuller||Steve Hutt|
|Anibal Ferreira||Gordon Reid||Michelle Daniels|
|David Andrews||Jonathan Wyner||Jamie Angus|
|Jean-Marc Jot||J. Keith McElveen||Christian Uhle|
|Christos Chousidis||Brecht De Man||David Prince|
|Shahan Nercessian||Julian Parker||Jordan Juras|
|Harry Andrews||M. Lefford||Ronny Andersson|
|Jan Skoglund||Renato de Castro Rabelo Profeta||Dave Moffat|
|Joseph Colonel||Christian Steinmetz||Gordon Wichern|
|Mikus Salgravis||Andy Sarroff||Robert Werner|
|Daniel Turner||Flavio Everardo|
To request membership in this Technical Committee please email the Chair by using the link above.