AES E-Library

S. Sai Vanka, M. Safi, J. Rolland, and G. Fazekas, "Adoption of AI Technology in Music Mixing Workflow: An Investigation," Paper 10653, (2023 May.). doi: S. Sai Vanka, M. Safi, J. Rolland, and G. Fazekas, "Adoption of AI Technology in Music Mixing Workflow: An Investigation," Paper 10653, (2023 May.). doi:
Abstract: 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.

@article{sai vanka2023adoption,
author={sai vanka, soumya and safi, maryam and rolland, jean-baptiste and fazekas, györgy},
journal={journal of the audio engineering society},
title={adoption of ai technology in music mixing workflow: an investigation},
year={2023},
volume={},
number={},
pages={},
doi={},
month={may},} @article{sai vanka2023adoption,
author={sai vanka, soumya and safi, maryam and rolland, jean-baptiste and fazekas, györgy},
journal={journal of the audio engineering society},
title={adoption of ai technology in music mixing workflow: an investigation},
year={2023},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={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.},}

TY - Mixing
TI - Adoption of AI Technology in Music Mixing Workflow: An Investigation
SP - EP -
AU - Sai Vanka, Soumya
AU - Safi, Maryam
AU - Rolland, Jean-Baptiste
AU - Fazekas, György
PY - 2023
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2023 TY - Mixing
TI - Adoption of AI Technology in Music Mixing Workflow: An Investigation
SP - EP -
AU - Sai Vanka, Soumya
AU - Safi, Maryam
AU - Rolland, Jean-Baptiste
AU - Fazekas, György
PY - 2023
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2023
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.