Francesco Foscarin | DeepAI

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∙ 06/29/2023

Predicting Music Hierarchies with a Graph-Based Neural Decoder

This paper describes a data-driven framework to parse musical sequences ...

0 Francesco Foscarin, et al. ∙

∙ 04/28/2023

Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem

This paper targets the perceptual task of separating the different inter...

0 Emmanouil Karystinaios, et al. ∙

∙ 04/24/2023

The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist

This paper introduces the ACCompanion, an expressive accompaniment syste...

0 Carlos Cancino-Chacón, et al. ∙

∙ 08/26/2022

Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier

Current approaches for explaining deep learning systems applied to music...

0 Francesco Foscarin, et al. ∙

∙ 06/02/2022

The match file format: Encoding Alignments between Scores and Performances

This paper presents the specifications of match: a file format that exte...

0 Francesco Foscarin, et al. ∙

∙ 06/02/2022

Partitura: A Python Package for Symbolic Music Processing

Partitura is a lightweight Python package for handling symbolic musical ...

0 Carlos Cancino-Chacón, et al. ∙

∙ 07/27/2021

PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation

We present PKSpell: a data-driven approach for the joint estimation of p...

0 Francesco Foscarin, et al. ∙

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