Our #ICASSP paper "Estimating Musical Surprisal in Audio" is now online. 😯 <- surprised 😁
Great work by Mathias Bjare and Giorgia Cantisani! 👏
We use an autoregressive transformer and Gaussian mixture models to estimate the information content in music2latent representations. 🧵👇
Great work by Mathias Bjare and Giorgia Cantisani! 👏
We use an autoregressive transformer and Gaussian mixture models to estimate the information content in music2latent representations. 🧵👇
Comments
Surprisal can be used for segment boundary detection and to simulate the information processing of a listener. 🎶 🧠
📜 Link to the paper: https://arxiv.org/pdf/2501.07474
Model weights are soon to come! 🏋️
💫✨ #SonyCSLMusic 💫✨