Towards Quantifying Differences in Expressive Piano Performances: Are Euclidean-like Distance Measures Enough?
Abstract
n this work, we present some preliminary results about quantifying differences in expressive piano performances in the context of computational generative models.
Type
Publication
In Rhythm Production and Perception Workshop 2021
Emmanouil Karystinaios
Senior Machine Learning Engineer and Postdoctoral Researcher
I work in music information retrieval as a Senior Machine Learning Engineer at Muse Group and a part-time Postdoctoral Researcher at Johannes Kepler University Linz.