The integration of artificial intelligence (AI) technology in the music industry is driving a significant change in the way music is being composed, produced and mixed. This study investigates the current state of AI in the mixing workflows and its adoption by different user groups. Through semi-structured interviews, a questionnaire-based study, and analyzing web forums, the study confirms three user groups comprising amateurs, pro-ams, and professionals. Our findings show that while AI mixing tools can simplify the process and provide decent results for amateurs, pro-ams seek precise control and customization options, while professionals desire control and customization options in addition to assistive and collaborative technologies. The study provides strategies for designing effective AI mixing tools for different user groups and outlines future directions.

Authors: Sai Vanka, Soumya; Safi, Maryam; Rolland, Jean-Baptiste; Fazekas, György
Affiliations: Queen Mary University of London, London, UK; Steinberg Media Technologies GmbH, Hamburg, Germany; Steinberg Media Technologies GmbH, Hamburg, Germany; Queen Mary University of London, London, UK(See document for exact affiliation information.)
AES Convention: 154 (May 2023) Paper Number: 10653
Publication Date: May 13, 2023
Subject: Mixing

Click to purchase paper as a non-member or you can login as an AES member to see more options.

No AES members have commented on this Mixing yet.

Subscribe to this discussion

To be notified of new comments on this Mixing you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this Mixing and are an AES member then you can login here:
Username:
Password:

If you are not yet an AES member and have something important to say about this Mixing then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.