#SonyCSLMusic
🎶 New paper alert!
Do AI audio embeddings *hear* timbre like we do?
➡️ Benchmarked 18 reps vs 2.6 K human ratings (21 datasets)
🏅 Style embeddings from CLAP & our sound-matching model are best aligned!
Paper: arxiv.org/abs/2507.07764
#ISMIR2025 #MIR #AudioAI #SonyCSLMusic
Assessing the Alignment of Audio Representations with Timbre Similarity Ratings
Psychoacoustical so-called "timbre spaces" map perceptual similarity ratings of instrument sounds onto low-dimensional embeddings via multidimensional scaling, but suffer from scalability issues and a...
arxiv.org
July 11, 2025 at 2:23 PM
🤩 From our series "@ieeeICASSP paper released", we announce that "Zero-shot Musical Stem Retrieval with Joint-Embedding Predictive Architectures" is online!

📜 Paper: arxiv.org/pdf/2411.19806

Thx to my colleagues Alain Riou, Geoffroy Peeters, Gaetan Hadjeres and Antonin Gagneré!

🎶 SonyCSLMusic 🎶
arxiv.org
January 29, 2025 at 1:34 PM
We also show that our IC estimates can help predict EEG measurements. 💆‍♀️

Surprisal can be used for segment boundary detection and to simulate the information processing of a listener. 🎶 🧠

📜 Link to the paper: arxiv.org/pdf/2501.07474

Model weights are soon to come! 🏋️

💫✨ #SonyCSLMusic 💫✨
arxiv.org
January 21, 2025 at 3:26 PM
¿El test de Turing de la música? cc @yolandacriado @ferblazrom https://x.com/SONYCSLMusic/status/786943798584741892
September 1, 2025 at 6:32 PM