Dipl.-Ing. Filip Korzeniowski Department of Computational Perception Johannes Kepler University (JKU) Linz Altenberger Str. 69, A-4040 Linz, Austria Science Park 3, 4th Floor Room 444 Tel: +43 732 2468 4719 Fax: +43 732 2468 4705 E-Mail:

Current Position

• PhD Candidate at the Department of Computational Perception of the Johannes Kepler University Linz, Austria.

Publications

2017

End-to-End Musical Key Estimation Using a Convolutional Neural Network
Korzeniowski, F., and Widmer, G.
In Proceedings of the 25th European Signal Processing Conference (EUSIPCO), Kos, Greece, 2017.

End-to-End Cross-Modality Retrieval with CCA Projections and Pairwise Ranking Loss
Dorfer, M., Schlüter, J., Vall, A., Korzeniowski, F., and Widmer, G.
arXiv:1705.06979 [cs.IR]

On the Futility of Learning Complex Frame-Level Language Models for Chord Recognition
Korzeniowski, F., and Widmer, G.
In Proceedings of the AES International Conference on Semantic Audio, Erlangen, Germany, 2017.

2016

A Fully Convolutional Deep Auditory Model for Musical Chord Recognition
Korzeniowski, F., and Widmer, G.
In Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Salerno, Italy, 2016.
Additional Information

Feature Learning for Chord Recognition: The Deep Chroma Extractor
Korzeniowski, F. and Widmer, G.
In Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR), New York, USA, 2016.
Additional Information

On the Potential of Simple Framewise Approaches to Piano Transcription
Kelz, R., Dorfer, M., Korzeniowski, F., Böck, S., Arzt, A., and Widmer, G.
In Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR), New York, USA, 2016.

madmom: a new Python Audio and Music Signal Processing Library
Böck, S., Korzeniowski, F., Schlüter, J. , Krebs, F., Widmer, G.
In Proceedings of the 24th ACM International Conference on Multimedia (MM), Amsterdam, The Netherlands, 2016.
madmom on GitHub

2014

Probabilistic Extraction of Beat Positions from a Beat Activation Function
Korzeniowski, F., Böck, S., and Widmer, G.
In Proceedings of 15th International Society for Music Information Retrieval Conference (ISMIR), Taipei, Taiwan, 2014.

Unsupervised Learning and Refinement of Rhythmic Patterns for Beat and Downbeat Tracking
Krebs, F., Korzeniowski, F., Grachten, M., and Widmer, G.
In Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), Lisbon, Portugal, 2014.

2013

Refined Spectral Template Models for Score Following
Korzeniowski, F. and Widmer G.
In Proceedings of the Sound and Music Computing Conference (SMC), 2013.

Tracking Rests and Tempo Changes: Improved Score Following with Particle Filters
Korzeniowski, F., Krebs F., Arzt A. and Widmer G.
In Proceedings of the International Computer Music Conference (ICMC), 2013.