Publications
2018
Improved Chord Recognition by Combining Duration and Harmonic Language Models
Korzeniowski, F., and Widmer, G.
In Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, 2018.
Genre-Agnostic Key Classification With Convolutional Neural Networks
Korzeniowski, F., and Widmer, G.
In Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, 2018.
Evaluating Language Models of Tonal Harmony
Sears, D., Korzeniowski, F., and Widmer, G.
In Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, 2018.
Automatic Chord Recognition with Higher-Order Harmonic Language Modelling
Korzeniowski, F., and Widmer, G.
In Proceedings of the 26th European Signal Processing Conference (EUSIPCO), Rome, Italy, 2018
A Large-Scale Study of Language Models for Chord Prediction
Korzeniowski, F., Sears, D. R. W., and Widmer, G.
In Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, 2018
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.
[ arXiv | 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.