4 papers
On the Human and Computer Alignment of Attribute-Based Music Matches
Roser Batlle-Roca, Woosung Choi, Joan Serrà +5
Recent advances in generative AI are raising ethical concerns regarding the originality of generated content and the potential replication of training data, with further implicatio…
MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AI
Laura Ibáñez-Martínez, Roser Batlle-Roca, Xavier Serra +1
Generative music systems are increasingly presented as tools that democratize music creation, yet their practical suitability for musicians remains underexplored. Prior work includ…
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI
Roser Batlle-Roca, Laura Ibáñez-Martínez, Xavier Serra +2
Since 2023, generative AI has rapidly advanced in the music domain. Despite significant technological advancements, music-generative models raise critical ethical challenges, inclu…
Towards Assessing Data Replication in Music Generation with Music Similarity Metrics on Raw Audio
Roser Batlle-Roca, Wei-Hsiang Liao, Xavier Serra +2
Recent advancements in music generation are raising multiple concerns about the implications of AI in creative music processes, current business models and impacts related to intel…