Filip Korzeniowski

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Scientific Staff

Curriculum Vitae

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Publications

2017

End-to-End Musical Key Estimation Using a Convolutional Neural Network
Korzeniowski, F., and Widmer, G.
In Proceedings of the 25th European Signal Processing Conference (EUSIPCO), Kos, Greece, 2017.

End-to-End Cross-Modality Retrieval with CCA Projections and Pairwise Ranking Loss
Dorfer, M., Schlüter, J., Vall, A., Korzeniowski, F., and Widmer, G.
arXiv:1705.06979 [cs.IR]

On the Futility of Learning Complex Frame-Level Language Models for Chord Recognition
Korzeniowski, F., and Widmer, G.
In Proceedings of the AES International Conference on Semantic Audio, Erlangen, Germany, 2017.

2016

A Fully Convolutional Deep Auditory Model for Musical Chord Recognition
Korzeniowski, F., and Widmer, G.
In Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Salerno, Italy, 2016.
Additional Information

Feature Learning for Chord Recognition: The Deep Chroma Extractor
Korzeniowski, F. and Widmer, G.
In Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR), New York, USA, 2016.
Additional Information

On the Potential of Simple Framewise Approaches to Piano Transcription
Kelz, R., Dorfer, M., Korzeniowski, F., Böck, S., Arzt, A., and Widmer, G.
In Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR), New York, USA, 2016.

madmom: a new Python Audio and Music Signal Processing Library
Böck, S., Korzeniowski, F., Schlüter, J. , Krebs, F., Widmer, G.
In Proceedings of the 24th ACM International Conference on Multimedia (MM), Amsterdam, The Netherlands, 2016.

2014

2013