6 citations · 16 across the 13 of their papers we have counts for
3 papers · 2 filters
Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier
Francesco Foscarin, Katharina Hoedt, Verena Praher +2
Current approaches for explaining deep learning systems applied to musical data provide results in a low-level feature space, e.g., by highlighting potentially relevant time-freque…
The match file format: Encoding Alignments between Scores and Performances
Francesco Foscarin, Emmanouil Karystinaios, Silvan David Peter +3
This paper presents the specifications of match: a file format that extends a MIDI human performance with note-, beat-, and downbeat-level alignments to a corresponding musical sco…
Partitura: A Python Package for Symbolic Music Processing
Carlos Cancino-Chacón, Silvan David Peter, Emmanouil Karystinaios +3
Partitura is a lightweight Python package for handling symbolic musical information. It provides easy access to features commonly used in music information retrieval tasks, like no…