Francesco Foscarin

According to our database, Francesco Foscarin authored at least 24 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

EngravingGNN: A Hybrid Graph Neural Network for End-to-End Piano Score Engraving.

Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer

CoRR, September, 2025

Optical Music Recognition of Jazz Lead Sheets.

Juan Carlos Martinez-Sevilla, Francesco Foscarin, Patricia García-Iasci, David Rizo, Jorge Calvo-Zaragoza, Gerhard Widmer

CoRR, September, 2025

Exploring Performance-Complexity Trade-Offs in Sound Event Detection.

Tobias Morocutti, Florian Schmid, Jonathan Greif, Francesco Foscarin, Gerhard Widmer

CoRR, March, 2025

Effective Pre-Training of Audio Transformers for Sound Event Detection.

Florian Schmid, Tobias Morocutti, Francesco Foscarin, Jan Schlüter, Paul Primus, Gerhard Widmer

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

SMUG-Explain: A Framework for Symbolic Music Graph Explanations.

Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer

CoRR, 2024

Beat This! Accurate Beat Tracking Without DBN Postprocessing.

Francesco Foscarin, Jan Schlüter, Gerhard Widmer

Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024

Cluster and Separate: A GNN Approach to Voice and Staff Prediction for Score Engraving.

Francesco Foscarin, Emmanouil Karystinaios, Eita Nakamura, Gerhard Widmer

Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024

Perception-Inspired Graph Convolution for Music Understanding Tasks.

Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Automatic Note-Level Score-to-Performance Alignments in the ASAP Dataset.

Silvan David Peter, Carlos Eduardo Cancino Chacón, Francesco Foscarin, Andrew McLeod, Florian Henkel, Emmanouil Karystinaios, Gerhard Widmer

Trans. Int. Soc. Music. Inf. Retr., January, 2023

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

Carlos Cancino Chacón, Silvan Peter, Patricia Hu, Emmanouil Karystinaios, Florian Henkel, Francesco Foscarin, Nimrod Varga, Gerhard Widmer

CoRR, 2023

Predicting Music Hierarchies With a Graph-Based Neural Decoder.

Francesco Foscarin, Daniel Harasim, Gerhard Widmer

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

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

Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

Carlos Cancino Chacón, Silvan Peter, Patricia Hu, Emmanouil Karystinaios, Florian Henkel, Francesco Foscarin, Gerhard Widmer

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

8 + 8 = 4: Formalizing Time Units to Handle Symbolic Music Durations.

Emmanouil Karystinaios, Francesco Foscarin, Florent Jacquemard, Masahiko Sakai, Satoshi Tojo, Gerhard Widmer

Proceedings of the Music and Sound Generation in the AI Era - 16th International Symposium, 2023

2022

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

Francesco Foscarin, Katharina Hoedt, Verena Praher, Arthur Flexer, Gerhard Widmer

CoRR, 2022

The match file format: Encoding Alignments between Scores and Performances.

Francesco Foscarin, Emmanouil Karystinaios, Silvan David Peter, Carlos Cancino Chacón, Maarten Grachten, Gerhard Widmer

CoRR, 2022

Partitura: A Python Package for Symbolic Music Processing.

Carlos Cancino Chacón, Silvan David Peter, Emmanouil Karystinaios, Francesco Foscarin, Maarten Grachten, Gerhard Widmer

CoRR, 2022

Concept-Based Techniques for "Musicologist-Friendly" Explanations in Deep Music Classifiers.

Francesco Foscarin, Katharina Hoedt, Verena Praher, Arthur Flexer, Gerhard Widmer

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

2021

Data quality assessment in digital score libraries.

Francesco Foscarin, Philippe Rigaux, Virginie Thion

Int. J. Digit. Libr., 2021

PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation.

Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020

The Musical Score: a challenging goal for automatic music transcription. (La partition musicale: un objectif ambitieux pour la transcription automatique de la musique).

Francesco Foscarin

PhD thesis, 2020

ASAP: a dataset of aligned scores and performances for piano transcription.

Francesco Foscarin, Andrew McLeod, Philippe Rigaux, Florent Jacquemard, Masahiko Sakai

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019

A Parse-Based Framework for Coupled Rhythm Quantization and Score Structuring.

Francesco Foscarin, Florent Jacquemard, Philippe Rigaux, Masahiko Sakai

Proceedings of the Mathematics and Computation in Music - 7th International Conference, 2019

A diff procedure for music score files.

Francesco Foscarin, Florent Jacquemard, Raphaël Fournier-S'niehotta

Proceedings of the 6th International Conference on Digital Libraries for Musicology, 2019