Adoption of AI Technology in Music Mixing Workflow: An Investigation

Sai Vanka S, Safi M, Rolland JB, Fazekas G. Adoption of AI Technology in Music Mixing Workflow: An Investigation. In: AES Convention 154. Audio Engineering Society; 2023. Paper 10653. Available from: https://aes.org/publications/elibrary-page/?id=22060

@inproceedings{SaiVanka2023_22060,
  author = {Sai Vanka, Soumya and Safi, Maryam and Rolland, Jean-Baptiste and Fazekas, György},
  title = {{Adoption of AI Technology in Music Mixing Workflow: An Investigation}},
  booktitle = {AES Convention 154},
  note = {Paper 10653},
  year = {2023},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22060}
}

TY  - CPAPER
TI  - Adoption of AI Technology in Music Mixing Workflow: An Investigation
AU  - Sai Vanka, Soumya
AU  - Safi, Maryam
AU  - Rolland, Jean-Baptiste
AU  - Fazekas, György
T2  - AES Convention 154
M1  - Paper 10653
PY  - 2023
DA  - 2023/05/06
UR  - https://aes.org/publications/elibrary-page/?id=22060
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -