Filip Korzeniowski

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 33

Top Topics

Unsupervised Learning

Source Separation

Language Modelling

Top Venues

Publications

Igor Pereira, Felipe Araújo, Filip Korzeniowski, Richard Vogl
MoisesDB: A Dataset for Source Separation Beyond 4-Stems. ISMIR (2023)
Igor Pereira, Felipe Araújo, Filip Korzeniowski, Richard Vogl
Moisesdb: A dataset for source separation beyond 4-stems. CoRR (2023)
Matthew C. McCallum, Filip Korzeniowski, Sergio Oramas, Fabien Gouyon, Andreas F. Ehmann
Supervised and Unsupervised Learning of Audio Representations for Music Understanding. ISMIR (2022)
Matthew C. McCallum, Filip Korzeniowski, Sergio Oramas, Fabien Gouyon, Andreas F. Ehmann
Supervised and Unsupervised Learning of Audio Representations for Music Understanding. CoRR (2022)
Filip Korzeniowski, Sergio Oramas, Fabien Gouyon
Artist Similarity for Everyone: A Graph Neural Network Approach. Trans. Int. Soc. Music. Inf. Retr. 5 (1) (2022)
Filip Korzeniowski, Sergio Oramas, Fabien Gouyon
Artist Similarity with Graph Neural Networks. CoRR (2021)
Filip Korzeniowski, Sergio Oramas, Fabien Gouyon
Artist Similarity Using Graph Neural Networks. ISMIR (2021)
Filip Korzeniowski, Oriol Nieto, Matthew McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt
Mood Classification Using Listening Data. CoRR (2020)
Filip Korzeniowski, Oriol Nieto, Matthew McCallum, Minz Won, Sergio Oramas, Erik M. Schmidt
Mood Classification Using Listening Data. ISMIR (2020)
David R. W. Sears, Filip Korzeniowski, Gerhard Widmer
Evaluating Language Models of Tonal Harmony. ISMIR (2018)
Filip Korzeniowski, Gerhard Widmer
Genre-Agnostic Key Classification With Convolutional Neural Networks. ISMIR (2018)
Filip Korzeniowski, Gerhard Widmer
Improved Chord Recognition by Combining Duration and Harmonic Language Models. ISMIR (2018)
Filip Korzeniowski, Gerhard Widmer
Automatic Chord Recognition with Higher-Order Harmonic Language Modelling. CoRR (2018)
Filip Korzeniowski, David R. W. Sears, Gerhard Widmer
A Large-Scale Study of Language Models for Chord Prediction. CoRR (2018)
Filip Korzeniowski, David R. W. Sears, Gerhard Widmer
A Large-Scale Study of Language Models for Chord Prediction. ICASSP (2018)
Filip Korzeniowski, Gerhard Widmer
Automatic Chord Recognition with Higher-Order Harmonic Language Modelling. EUSIPCO (2018)
David R. W. Sears, Filip Korzeniowski, Gerhard Widmer
Evaluating language models of tonal harmony. CoRR (2018)
Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, Gerhard Widmer
End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss. Int. J. Multim. Inf. Retr. 7 (2) (2018)
Filip Korzeniowski, Gerhard Widmer
Improved Chord Recognition by Combining Duration and Harmonic Language Models. CoRR (2018)
Filip Korzeniowski, Gerhard Widmer
Genre-Agnostic Key Classification With Convolutional Neural Networks. CoRR (2018)
Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, Gerhard Widmer
End-to-End Cross-Modality Retrieval with CCA Projections and Pairwise Ranking Loss. CoRR (2017)
Filip Korzeniowski, Gerhard Widmer
On the Futility of Learning Complex Frame-Level Language Models for Chord Recognition. CoRR (2017)
Filip Korzeniowski, Gerhard Widmer
On the Futility of Learning Complex Frame-Level Language Models for Chord Recognition. Semantic Audio (2017)
Filip Korzeniowski, Gerhard Widmer
End-to-End Musical Key Estimation Using a Convolutional Neural Network. CoRR (2017)
Filip Korzeniowski, Gerhard Widmer
End-to-end musical key estimation using a convolutional neural network. EUSIPCO (2017)
Filip Korzeniowski, Gerhard Widmer
Feature Learning for Chord Recognition: The Deep Chroma Extractor. ISMIR (2016)
Filip Korzeniowski, Gerhard Widmer
A Fully Convolutional Deep Auditory Model for Musical Chord Recognition. CoRR (2016)
Rainer Kelz, Matthias Dorfer, Filip Korzeniowski, Sebastian Böck, Andreas Arzt, Gerhard Widmer
On the Potential of Simple Framewise Approaches to Piano Transcription. CoRR (2016)
Filip Korzeniowski, Gerhard Widmer
A fully convolutional deep auditory model for musical chord recognition. MLSP (2016)
Filip Korzeniowski, Gerhard Widmer
Feature Learning for Chord Recognition: The Deep Chroma Extractor. CoRR (2016)
Sebastian Böck, Filip Korzeniowski, Jan Schlüter, Florian Krebs, Gerhard Widmer
madmom: a new Python Audio and Music Signal Processing Library. CoRR (2016)
Sebastian Böck, Filip Korzeniowski, Jan Schlüter, Florian Krebs, Gerhard Widmer
madmom: A New Python Audio and Music Signal Processing Library. ACM Multimedia (2016)
Rainer Kelz, Matthias Dorfer, Filip Korzeniowski, Sebastian Böck, Andreas Arzt, Gerhard Widmer
On the Potential of Simple Framewise Approaches to Piano Transcription. ISMIR (2016)
Filip Korzeniowski, Sebastian Böck, Gerhard Widmer
Probabilistic Extraction of Beat Positions from a Beat Activation Function. ISMIR (2014)
Florian Krebs, Filip Korzeniowski, Maarten Grachten, Gerhard Widmer
Unsupervised learning and refinement of rhythmic patterns for beat and downbeat tracking. EUSIPCO (2014)
Filip Korzeniowski, Florian Krebs, Andreas Arzt, Gerhard Widmer
Tracking rests and Tempo changes: Improved Score following with Particle filters. ICMC (2013)
Volkmar Wieser, Clemens Grelck, Peter Haslinger, Jing Guo, Filip Korzeniowski, Robert Bernecky, Bernhard Moser, Sven-Bodo Scholz
Combining high productivity and high performance in image processing using Single Assignment C on multi-core CPUs and many-core GPUs. J. Electronic Imaging 21 (2) (2012)