Filip Korzeniowski
Filip Korzeniowski
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Geciteerd door
Geciteerd door
Madmom: A new python audio and music signal processing library
S Böck, F Korzeniowski, J Schlüter, F Krebs, G Widmer
Proceedings of the 24th ACM international conference on Multimedia, 1174-1178, 2016
On the potential of simple framewise approaches to piano transcription
R Kelz, M Dorfer, F Korzeniowski, S Böck, A Arzt, G Widmer
arXiv preprint arXiv:1612.05153, 2016
Feature Learning for Chord Recognition: The Deep Chroma Extractor
F Korzeniowski, G Widmer
Proceedings of the International Society for Music Information Retrieval …, 2016
A Fully Convolutional Deep Auditory Model for Musical Chord Recognition
F Korzeniowski, G Widmer
IEEE 26th International Workshop on Machine Learning for Signal Processing …, 2016
End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss
M Dorfer, J Schlüter, A Vall, F Korzeniowski, G Widmer
International Journal of Multimedia Information Retrieval 7, 117-128, 2018
End-to-end musical key estimation using a convolutional neural network
F Korzeniowski, G Widmer
2017 25th European Signal Processing Conference (EUSIPCO), 966-970, 2017
Genre-agnostic key classification with convolutional neural networks
F Korzeniowski, G Widmer
arXiv preprint arXiv:1808.05340, 2018
Improved chord recognition by combining duration and harmonic language models
F Korzeniowski, G Widmer
arXiv preprint arXiv:1808.05335, 2018
On the futility of learning complex frame-level language models for chord recognition
F Korzeniowski, G Widmer
arXiv preprint arXiv:1702.00178, 2017
Classifying short acoustic scenes with I-vectors and CNNs: Challenges and optimisations for the 2017 DCASE ASC task
B Lehner, H Eghbal-Zadeh, M Dorfer, F Korzeniowski, K Koutini, ...
DCASE2017 Challenge, 2017
Supervised and unsupervised learning of audio representations for music understanding
MC McCallum, F Korzeniowski, S Oramas, F Gouyon, AF Ehmann
arXiv preprint arXiv:2210.03799, 2022
Probabilistic Extraction of Beat Positions from a Beat Activation Function.
F Korzeniowski, S Böck, G Widmer
Proceedings of the International Society for Music Information Retrieval …, 2014
A large-scale study of language models for chord prediction
F Korzeniowski, DRW Sears, G Widmer
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Mood classification using listening data
F Korzeniowski, O Nieto, M McCallum, M Won, S Oramas, E Schmidt
arXiv preprint arXiv:2010.11512, 2020
Tracking Rests and Tempo Changes: Improved Score Following with Particle Filters
F Korzeniowski, F Krebs, A Arzt, G Widmer
Proceedings of the International Computer Music Conference (ICMC), 2013
Moisesdb: A dataset for source separation beyond 4-stems
I Pereira, F Araújo, F Korzeniowski, R Vogl
arXiv preprint arXiv:2307.15913, 2023
Artist similarity with graph neural networks
F Korzeniowski, S Oramas, F Gouyon
arXiv preprint arXiv:2107.14541, 2021
Combining high productivity and high performance in image processing using Single Assignment C on multi-core CPUs and many-core GPUs
V Wieser, C Grelck, P Haslinger, J Guo, F Korzeniowski, R Bernecky, ...
Journal of Electronic Imaging 21 (2), 021116-021116, 2012
Unsupervised learning and refinement of rhythmic patterns for beat and downbeat tracking
F Krebs, F Korzeniowski, M Grachten, G Widmer
Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 611-615, 2014
Automatic chord recognition with higher-order harmonic language modelling
F Korzeniowski, G Widnaer
2018 26th European Signal Processing Conference (EUSIPCO), 1900-1904, 2018
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