Francesco Foscarin

Orcid: 0000-0003-4634-7475

According to our database1, Francesco Foscarin authored at least 21 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Effective Pre-Training of Audio Transformers for Sound Event Detection.
CoRR, 2024

Beat this! Accurate beat tracking without DBN postprocessing.
CoRR, 2024

Cluster and Separate: a GNN Approach to Voice and Staff Prediction for Score Engraving.
CoRR, 2024

SMUG-Explain: A Framework for Symbolic Music Graph Explanations.
CoRR, 2024

Perception-Inspired Graph Convolution for Music Understanding Tasks.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Automatic Note-Level Score-to-Performance Alignments in the ASAP Dataset.
Trans. Int. Soc. Music. Inf. Retr., January, 2023

8+8=4: Formalizing Time Units to Handle Symbolic Music Durations.
CoRR, 2023

The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist.
CoRR, 2023

Predicting Music Hierarchies With a Graph-Based Neural Decoder.
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.
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.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier.
CoRR, 2022

The match file format: Encoding Alignments between Scores and Performances.
CoRR, 2022

Partitura: A Python Package for Symbolic Music Processing.
CoRR, 2022

Concept-Based Techniques for "Musicologist-Friendly" Explanations in Deep Music Classifiers.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

2021
Data quality assessment in digital score libraries.
Int. J. Digit. Libr., 2021

PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation.
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).
PhD thesis, 2020

ASAP: a dataset of aligned scores and performances for piano transcription.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019
A Parse-Based Framework for Coupled Rhythm Quantization and Score Structuring.
Proceedings of the Mathematics and Computation in Music - 7th International Conference, 2019

A diff procedure for music score files.
Proceedings of the 6th International Conference on Digital Libraries for Musicology, 2019


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