Filip Korzeniowski

According to our database, Filip Korzeniowski authored at least 22 papers between 2012 and 2023.

Collaborative distances:

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

2023

MoisesDB: A Dataset for Source Separation Beyond 4-Stems.

Igor Pereira, Felipe Araújo, Filip Korzeniowski, Richard Vogl

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

2022

Artist Similarity for Everyone: A Graph Neural Network Approach.

Filip Korzeniowski, Sergio Oramas, Fabien Gouyon

Trans. Int. Soc. Music. Inf. Retr., 2022

Supervised and Unsupervised Learning of Audio Representations for Music Understanding.

Matthew C. McCallum, Filip Korzeniowski, Sergio Oramas, Fabien Gouyon, Andreas F. Ehmann

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

2021

Artist Similarity with Graph Neural Networks.

Filip Korzeniowski, Sergio Oramas, Fabien Gouyon

CoRR, 2021

Artist Similarity Using Graph Neural Networks.

Filip Korzeniowski, Sergio Oramas, Fabien Gouyon

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

2020

Mood Classification Using Listening Data.

Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt

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

2018

End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss.

Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, Gerhard Widmer

Int. J. Multim. Inf. Retr., 2018

Evaluating Language Models of Tonal Harmony.

David R. W. Sears, Filip Korzeniowski, Gerhard Widmer

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Genre-Agnostic Key Classification With Convolutional Neural Networks.

Filip Korzeniowski, Gerhard Widmer

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Improved Chord Recognition by Combining Duration and Harmonic Language Models.

Filip Korzeniowski, Gerhard Widmer

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

A Large-Scale Study of Language Models for Chord Prediction.

Filip Korzeniowski, David R. W. Sears, Gerhard Widmer

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Automatic Chord Recognition with Higher-Order Harmonic Language Modelling.

Filip Korzeniowski, Gerhard Widmer

Proceedings of the 26th European Signal Processing Conference, 2018

2017

On the Futility of Learning Complex Frame-Level Language Models for Chord Recognition.

Filip Korzeniowski, Gerhard Widmer

Proceedings of the AES International Conference Semantic Audio 2017, 2017

End-to-end musical key estimation using a convolutional neural network.

Filip Korzeniowski, Gerhard Widmer

Proceedings of the 25th European Signal Processing Conference, 2017

2016

madmom: A New Python Audio and Music Signal Processing Library.

Sebastian Böck, Filip Korzeniowski, Jan Schlüter, Florian Krebs, Gerhard Widmer

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

A fully convolutional deep auditory model for musical chord recognition.

Filip Korzeniowski, Gerhard Widmer

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Feature Learning for Chord Recognition: The Deep Chroma Extractor.

Filip Korzeniowski, Gerhard Widmer

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

On the Potential of Simple Framewise Approaches to Piano Transcription.

Rainer Kelz, Matthias Dorfer, Filip Korzeniowski, Sebastian Böck, Andreas Arzt, Gerhard Widmer

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2014

Probabilistic Extraction of Beat Positions from a Beat Activation Function.

Filip Korzeniowski, Sebastian Böck, Gerhard Widmer

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Unsupervised learning and refinement of rhythmic patterns for beat and downbeat tracking.

Florian Krebs, Filip Korzeniowski, Maarten Grachten, Gerhard Widmer

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Tracking rests and Tempo changes: Improved Score following with Particle filters.

Filip Korzeniowski, Florian Krebs, Andreas Arzt, Gerhard Widmer

Proceedings of the 39th International Computer Music Conference, 2013

2012

Combining high productivity and high performance in image processing using Single Assignment C on multi-core CPUs and many-core GPUs.

Volkmar Wieser, Clemens Grelck, Peter Haslinger, Jing Guo, Filip Korzeniowski, Robert Bernecky, Bernhard Moser, Sven-Bodo Scholz

J. Electronic Imaging, 2012