Towards Quantifying Differences in Expressive Piano Performances: Are Euclidean-like Distance Measures Enough?
Carlos Canchino Chacon, Silvan Peter, Emmanouil Karystinaios, Gerhard Widmer
March, 2022
Abstract
n this work, we present some preliminary results about quantifying differences in expressive piano performances in the context of computational generative models.
Publication
In Rhythm Production and Perception Workshop 2021
Postdoctoral Researcher in Artificial Intelligence
My research interests include Music Information Retrieval and Graph Neural Networks