AI-Assisted Music Production: A User Study on Text-to-Music Models
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866918149768609792 |
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| author | Ronchini, Francesca Comanducci, Luca Marcucci, Simone Antonacci, Fabio |
| author_facet | Ronchini, Francesca Comanducci, Luca Marcucci, Simone Antonacci, Fabio |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_23364 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AI-Assisted Music Production: A User Study on Text-to-Music Models Ronchini, Francesca Comanducci, Luca Marcucci, Simone Antonacci, Fabio Audio and Speech Processing Machine Learning Sound Signal Processing 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. |
| title | AI-Assisted Music Production: A User Study on Text-to-Music Models |
| topic | Audio and Speech Processing Machine Learning Sound Signal Processing |
| url | https://arxiv.org/abs/2509.23364 |