Transparent Performance Models
Cancino Chacon, C., Peter, S. and Widmer, G. (2022).
Can We Achieve Togetherness with an Artificial Partner? Insights and Challenges from Developing an Automatic Accompaniment System.
In Musical Togetherness Symposium (MTS-22), Vienna, Austria. (to appear)
Explainable and Robust Perception Models
Foscarin, F., Hoedt, K., Praher, V., Flexer, A. and Widmer, G. (2022).
Concept-Based Techniques for Musicologist-Friendly Explanations of Deep Music Classifiers.
In Proceedings of the 23rd International Society for Music Information Retrieval Conference (ISMIR 2022), Bengaluru, India. (to appear)
Karystinaios, E. and Widmer, G. (2022).
Cadence Detection in Symbolic Classical Music using Graph Neural Networks.
In Proceedings of the 23rd International Society for Music Information Retrieval Conference (ISMIR 2022), Bengaluru, India. (to appear)
Prinz, K., Flexer, A. and Widmer, G. (2022). [Code, opens an external URL in a new window]
Defending a Music Recommender Against Hubness-Based Adversarial Attacks, opens an external URL in a new window.
In Proceedings of the 2022 Sound and Music Computing (SMC 2022), Saint-Etienne, France.
Musical Data, Representations, Fundamental Technologies
Cancino-Chacón, C., Peter, S., Karystinaios, E., Foscarin, F., Grachten, M. and Widmer, G. (2022). [ Code, opens an external URL in a new window ]
Partitura: A Python Package for Symbolic Music Processing, opens an external URL in a new window.
In Proceedings of the Music Encoding Conference (MEC 2022), Halifax, Canada.
Foscarin, F., Karystinaios, E., Peter, S., Cancino-Chacón, C., Grachten, M. and Widmer, G. (2022). [Doc, opens an external URL in a new window | Data, opens an external URL in a new window ]
The match File Format: Encoding Alignments between Scores and Performances, opens an external URL in a new window.
In Proceedings of the Music Encoding Conference (MEC 2022), Halifax, Canada.
Henkel, F. (2022). [Code, opens an external URL in a new window]
Multi-modal Deep Learning for On-line Music Following in Score Sheet Images, opens an external URL in a new window.
PhD. Thesis, Inst. of Computational Perception, Johannes Kepler University Linz, Austria.
This project receives funding from the European Research Council (ERC), opens an external URL in a new window under the European Union's Horizon 2020 research and innovation programme under grant agreement No 101019375 (Whither Music?).
Johannes Kepler University Linz
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4040 Linz, Austria
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