how can we assess openness in music-generative AI? That’s the question we explore in our new paper, just accepted at #ISMIR2025! 📣 📄 Paper: arxiv.org/pdf/2507.03599 📌 Openness leaderboard: roserbatlleroca.github.io/MusGO_framew... 🧵👇

we're still looking for participants in our latest listening experiment 👂 if you have 20 minutes to spare, it'd be great to get your input on how people perceive sound and recognise similarities between different audio clips 🎶 👇

🎧 participate in our short experiment on sound perception help us understand how you identify similarities and relationships between sounds 🧠🎶 available both in English and Catalan: 🔗 en - mtg.upf.edu/similarity-e... 🔗 cat - mtg.upf.edu/similarity-e... thank you for your time and support!

Are you working on music + ethics, perception, UX/UI, human-AI collaboration or exploring future human-centric approaches? Don’t miss out HCMIR workshop call for papers! More info here👇🏽

📢 New preprint version of "Transparency in Music-Generative AI: A Systematic Literature Review" is out! We now analyse 107 publications in a two-stage review, uncovering gaps in transparency for genAI in music. Jump to section 5.2 for TL;DR ✨ doi.org/10.21203/rs....

new paper! 🗣️Sketch2Sound💥 Sketch2Sound can create sounds from sonic imitations (i.e., a vocal imitation or a reference sound) via interpretable, time-varying control signals. paper: arxiv.org/abs/2412.08550 web: hugofloresgarcia.art/sketch2sound

📢 Call to all #MIRCommunity! Have you ever wondered what an open model means? Help us shape the definition of open models in generative AI for music by taking our survey — just 10 minutes! 👉 forms.gle/Z48t6HPBXwWC3r… thank you 💫