4 papers · 1 filter
Evaluating Disentangled Representations for Controllable Music Generation
Laura Ibáñez-MartÃnez, 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, MartÃn 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-MartÃnez, 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…