Filip Korzeniowski

40 papers A* 1Misc 1Journal 20Unranked 18
YearRankTypeTitle / Venue / Authors
2025 — conf
Moises-Light: Resource-efficient Band-split U-Net For Music Source Separation.
WASPAA
Yun-Ning Hung, Igor Pereira, Filip Korzeniowski
2025 J jnl
Moises-Light: Resource-efficient Band-split U-Net For Music Source Separation.
CoRR
Yun-Ning Hung, Igor Pereira, Filip Korzeniowski
2025 — conf
Simple and Effective Semantic Song Segmentation.
ISMIR
Filip Korzeniowski, Richard Vogl
2023 — conf
MoisesDB: A Dataset for Source Separation Beyond 4-Stems.
ISMIR
Igor Pereira, Felipe Araújo, Filip Korzeniowski, Richard Vogl
2023 J jnl
Moisesdb: A dataset for source separation beyond 4-stems.
CoRR
Igor Pereira, Felipe Araújo, Filip Korzeniowski, Richard Vogl
2022 J jnl
Artist Similarity for Everyone: A Graph Neural Network Approach.
Trans. Int. Soc. Music. Inf. Retr.
Filip Korzeniowski, Sergio Oramas, Fabien Gouyon
2022 — conf
Supervised and Unsupervised Learning of Audio Representations for Music Understanding.
ISMIR
Matthew C. McCallum, Filip Korzeniowski, Sergio Oramas, Fabien Gouyon, Andreas F. Ehmann
2022 J jnl
Supervised and Unsupervised Learning of Audio Representations for Music Understanding.
CoRR
Matthew C. McCallum, Filip Korzeniowski, Sergio Oramas, Fabien Gouyon, Andreas F. Ehmann
2021 — conf
Artist Similarity Using Graph Neural Networks.
ISMIR
Filip Korzeniowski, Sergio Oramas, Fabien Gouyon
2021 J jnl
Artist Similarity with Graph Neural Networks.
CoRR
Filip Korzeniowski, Sergio Oramas, Fabien Gouyon
2020 — conf
Mood Classification Using Listening Data.
ISMIR
Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt
2020 J jnl
Mood Classification Using Listening Data.
CoRR
Filip Korzeniowski, Oriol Nieto, Matthew C. McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt
2018 Misc conf
A Large-Scale Study of Language Models for Chord Prediction.
ICASSP
Filip Korzeniowski, David R. W. Sears, Gerhard Widmer
2018 J jnl
A Large-Scale Study of Language Models for Chord Prediction.
CoRR
Filip Korzeniowski, David R. W. Sears, Gerhard Widmer
2018 — conf
Automatic Chord Recognition with Higher-Order Harmonic Language Modelling.
EUSIPCO
Filip Korzeniowski, Gerhard Widmer
2018 J jnl
Automatic Chord Recognition with Higher-Order Harmonic Language Modelling.
CoRR
Filip Korzeniowski, Gerhard Widmer
2018 J jnl
End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss.
Int. J. Multim. Inf. Retr.
Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, Gerhard Widmer
2018 — conf
Evaluating Language Models of Tonal Harmony.
ISMIR
David R. W. Sears, Filip Korzeniowski, Gerhard Widmer
2018 J jnl
Evaluating language models of tonal harmony.
CoRR
David R. W. Sears, Filip Korzeniowski, Gerhard Widmer
2018 — conf
Genre-Agnostic Key Classification With Convolutional Neural Networks.
ISMIR
Filip Korzeniowski, Gerhard Widmer
2018 J jnl
Genre-Agnostic Key Classification With Convolutional Neural Networks.
CoRR
Filip Korzeniowski, Gerhard Widmer
2018 — conf
Improved Chord Recognition by Combining Duration and Harmonic Language Models.
ISMIR
Filip Korzeniowski, Gerhard Widmer
2018 J jnl
Improved Chord Recognition by Combining Duration and Harmonic Language Models.
CoRR
Filip Korzeniowski, Gerhard Widmer
2017 J jnl
End-to-End Cross-Modality Retrieval with CCA Projections and Pairwise Ranking Loss.
CoRR
Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, Gerhard Widmer
2017 J jnl
End-to-End Musical Key Estimation Using a Convolutional Neural Network.
CoRR
Filip Korzeniowski, Gerhard Widmer
2017 — conf
End-to-end musical key estimation using a convolutional neural network.
EUSIPCO
Filip Korzeniowski, Gerhard Widmer
2017 — conf
On the Futility of Learning Complex Frame-Level Language Models for Chord Recognition.
Semantic Audio
Filip Korzeniowski, Gerhard Widmer
2017 J jnl
On the Futility of Learning Complex Frame-Level Language Models for Chord Recognition.
CoRR
Filip Korzeniowski, Gerhard Widmer
2016 J jnl
A Fully Convolutional Deep Auditory Model for Musical Chord Recognition.
CoRR
Filip Korzeniowski, Gerhard Widmer
2016 — conf
A fully convolutional deep auditory model for musical chord recognition.
MLSP
Filip Korzeniowski, Gerhard Widmer
2016 — conf
Feature Learning for Chord Recognition: The Deep Chroma Extractor.
ISMIR
Filip Korzeniowski, Gerhard Widmer
2016 J jnl
Feature Learning for Chord Recognition: The Deep Chroma Extractor.
CoRR
Filip Korzeniowski, Gerhard Widmer
2016 — conf
On the Potential of Simple Framewise Approaches to Piano Transcription.
ISMIR
Rainer Kelz, Matthias Dorfer, Filip Korzeniowski, Sebastian Böck, Andreas Arzt, Gerhard Widmer
2016 J jnl
On the Potential of Simple Framewise Approaches to Piano Transcription.
CoRR
Rainer Kelz, Matthias Dorfer, Filip Korzeniowski, Sebastian Böck, Andreas Arzt, Gerhard Widmer
2016 A* conf
madmom: A New Python Audio and Music Signal Processing Library.
ACM Multimedia
Sebastian Böck, Filip Korzeniowski, Jan Schlüter, Florian Krebs, Gerhard Widmer
2016 J jnl
madmom: a new Python Audio and Music Signal Processing Library.
CoRR
Sebastian Böck, Filip Korzeniowski, Jan Schlüter, Florian Krebs, Gerhard Widmer
2014 — conf
Probabilistic Extraction of Beat Positions from a Beat Activation Function.
ISMIR
Filip Korzeniowski, Sebastian Böck, Gerhard Widmer
2014 — conf
Unsupervised learning and refinement of rhythmic patterns for beat and downbeat tracking.
EUSIPCO
Florian Krebs, Filip Korzeniowski, Maarten Grachten, Gerhard Widmer
2013 — conf
Tracking rests and Tempo changes: Improved Score following with Particle filters.
ICMC
Filip Korzeniowski, Florian Krebs, Andreas Arzt, Gerhard Widmer
2012 J jnl
Combining high productivity and high performance in image processing using Single Assignment C on multi-core CPUs and many-core GPUs.
J. Electronic Imaging
Volkmar Wieser, Clemens Grelck, Peter Haslinger, Jing Guo, Filip Korzeniowski, Robert Bernecky, Bernhard Moser, Sven-Bodo Scholz