PAGURI: a user experience study of creative interaction with text-to-music models
In recent years, text-to-music models have been the biggest breakthrough in automatic music generation. While they are unquestionably a showcase of technological progress, it is not clear yet how they can be realistically integrated into the artistic practice of musicians and music practitioners. Th...
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Zusammenfassung: | In recent years, text-to-music models have been the biggest breakthrough in
automatic music generation. While they are unquestionably a showcase of
technological progress, it is not clear yet how they can be realistically
integrated into the artistic practice of musicians and music practitioners.
This paper aims to address this question via Prompt Audio Generation User
Research Investigation (PAGURI), a user experience study where we leverage
recent text-to-music developments to study how musicians and practitioners
interact with these systems, evaluating their satisfaction levels. We developed
an online tool through which users can generate music samples and/or apply
recently proposed personalization techniques, based on fine-tuning, to allow
the text-to-music model to generate sounds closer to their needs and
preferences. Using questionnaires, we analyzed how participants interacted with
the proposed tool, to understand the effectiveness of text-to-music models in
enhancing users' creativity. Results show that even if the audio samples
generated and their quality may not always meet user expectations, the majority
of the participants would incorporate the tool in their creative process.
Furthermore, they provided insights into potential enhancements for the system
and its integration into their music practice. |
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DOI: | 10.48550/arxiv.2407.04333 |