1 citations · 1 across the 6 of their papers we have counts for
6 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…
Evaluating Disentangled Representations for Controllable Music Generation
Laura Ibáñez-Martínez, Chukwuemeka Nkama, Andrea Poltronieri +2
Recent approaches in music generation rely on disentangled representations, often labeled as structure and timbre or local and global, to enable controllable synthesis. Yet the und…
From Discord to Harmony: Decomposed Consonance-based Training for Improved Audio Chord Estimation
Andrea Poltronieri, Xavier Serra, Martín Rocamora
Audio Chord Estimation (ACE) holds a pivotal role in music information research, having garnered attention for over two decades due to its relevance for music transcription and ana…
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…