2 citations · 2 across the 3 of their papers we have counts for
4 papers
MEX: The Musical Expectation Benchmark Suite
Mathias Rose Bjare, Augustin Bouquillard, Giorgia Cantisani +3
We propose the Musical Expectation (MEX) benchmark suite for perceptually validating computational models of musical expectation, i.e., models that estimate music information dynam…
Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders
Mathias Rose Bjare, Giorgia Cantisani, Marco Pasini +2
We argue that training autoencoders to reconstruct inputs from noised versions of their encodings, when combined with perceptually motivated losses, yields encodings that are struc…
Estimating Musical Surprisal in Audio
Mathias Rose Bjare, Giorgia Cantisani, Stefan Lattner +1
In modeling musical surprisal expectancy with computational methods, it has been proposed to use the information content (IC) of one-step predictions from an autoregressive model a…
A standardised open science framework for sharing and re-analysing neural data acquired to continuous stimuli
Giovanni M. Di Liberto, Aaron Nidiffer, Michael J. Crosse +9
Neurophysiology research has demonstrated that it is possible and valuable to investigate sensory processing in scenarios involving continuous sensory streams, such as speech and m…