AI-Assisted Music Production: A User Study on Text-to-Music Models
This addresses the problem of integrating AI tools into creative workflows for musicians, but it is incremental as it builds on existing text-to-music models.
The paper investigated how text-to-music models affect music production workflows through a user study, finding that they offer transformative potential but face integration challenges.
Text-to-music models have revolutionized the creative landscape, offering new possibilities for music creation. Yet their integration into musicians workflows remains underexplored. This paper presents a case study on how TTM models impact music production, based on a user study of their effect on producers creative workflows. Participants produce tracks using a custom tool combining TTM and source separation models. Semi-structured interviews and thematic analysis reveal key challenges, opportunities, and ethical considerations. The findings offer insights into the transformative potential of TTMs in music production, as well as challenges in their real-world integration.