Filip Korzeniowski
Filip Korzeniowski
Pandora Media
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Titel
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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
1552016
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
1132016
Feature Learning for Chord Recognition: The Deep Chroma Extractor
F Korzeniowski, G Widmer
Proceedings of the International Society for Music Information Retrieval …, 2016
882016
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
732016
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 (2), 117-128, 2018
342018
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
312017
On the futility of learning complex frame-level language models for chord recognition
F Korzeniowski, G Widmer
arXiv preprint arXiv:1702.00178, 2017
252017
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
222017
Genre-agnostic key classification with convolutional neural networks
F Korzeniowski, G Widmer
arXiv preprint arXiv:1808.05340, 2018
212018
Improved chord recognition by combining duration and harmonic language models
F Korzeniowski, G Widmer
arXiv preprint arXiv:1808.05335, 2018
172018
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
172014
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
142018
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
112013
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
102014
Combining high productivity and high performance in image processing using Single Assignment C on multi-core CPUs and many-core GPUs
V Wieser, P Haslinger, F Korzeniowski, B Moser, C Grelck, J Guo, ...
Journal of Electronic Imaging 21 (2), 021116, 2012
102012
Automatic chord recognition with higher-order harmonic language modelling
F Korzeniowski, G Widnaer
2018 26th European Signal Processing Conference (EUSIPCO), 1900-1904, 2018
72018
Mirex submissions for chord recognition and key estimation 2017
F Korzeniowski, S Böck, F Krebs, G Widmer
MIREX evaluation results, 2017
72017
Mood classification using listening data
F Korzeniowski, O Nieto, M McCallum, M Won, S Oramas, E Schmidt
arXiv preprint arXiv:2010.11512, 2020
42020
Evaluating language models of tonal harmony
DRW Sears, F Korzeniowski, G Widmer
arXiv preprint arXiv:1806.08724, 2018
42018
Harmonic Analysis of Musical Audio using Deep Neural Networks
F Korzeniowski
Ph. D. Dissertation. Johannes Kepler University Linz, Linz, Austria, 2018
22018
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Artikelen 1–20