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Dipl.-Ing. Florian Krebs
Department of Computational Perception
Phone: +43
732 2468 4714 Current Position Research Interests |
2016
| Downbeat Estimation Using Beat Synchronous Features And Recurrent Neural Networks Krebs, F., Böck, S., Dorfer, M., and Widmer, G. In Proceedings of 17th International Society for Music Information Retrieval Conference (ISMIR), New York, USA, 2016. >> PDF >> Additional information |
| Joint Beat and Downbeat Tracking with Recurrent Neural Networks Böck, S., Krebs, F., and Widmer, G. In Proceedings of 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. |
2015
| Inferring Metrical Structure in Music Using Particle Filters Krebs, F., Holzapfel, A., Cemgil, A. T. and Widmer, G. In IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2015. >> Final version >> Pre-print |
| An Efficient State Space Model for Joint Tempo and Meter Tracking Krebs, F., Böck, S., and Widmer, G. In Proceedings of 16th International Society for Music Information Retrieval Conference (ISMIR), Malaga, Spain, 2015. >> PDF >> Additional information |
| Accurate Tempo Estimation Based on Recurrent Neural Networks and Resonating Comb Filters Böck, S., Krebs, F., and Widmer, G. In Proceedings of 16th International Society for Music Information Retrieval Conference (ISMIR), Malaga, Spain, 2015. |
| The Second International Workshop on Cross-Disciplinary and Multicultural Perspectives on Musical Rhythm and Improvisation Lambert, A. and Krebs F. In Computer Music Journal, 2015. |
2014
| Unsupervised Learning and Refinement of Rhythmic Patterns for Beat and Downbeat Tracking Krebs, F., Korzeniowski, F., Grachten, M., and Widmer, G. In Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), Lisbon, Portugal, 2014. |
| Tracking the 'Odd': Meter Inference in a Culturally Diverse Music Corpus Holzapfel, A., Krebs, F., and Srinivasamurthy, A. In Proceedings of 15th International Society for Music Information Retrieval Conference (ISMIR), Taipeh, Taiwan, 2014. >> PDF >> Errata |
| A Multi-Model Approach to Beat Tracking Considering Heterogeneous Music Styles Böck, S., Krebs, F., and Widmer, G. In Proceedings of 15th International Society for Music Information Retrieval Conference (ISMIR), Taipeh, Taiwan, 2014. |
| An Assessment of Learned Score Features for Modeling Expressive Dynamics in Music Grachten, M., and Krebs, F. In IEEE Transactions on Multimedia: Special Issue on Data Mining, 2014. |
2013
| Rhythmic Pattern Modeling for Beat- and Downbeat Tracking in Musical Audio Krebs, F., Böck, S., and Widmer, G. In Proceedings of 14th International Society for Music Information Retrieval Conference (ISMIR), Curitiba, Brazil, 2013. >> PDF >> Additional information |
| Tracking Rests and Tempo Changes: Improved Score Following with Particle Filters Korzeniowski, F., Krebs, F., Arzt, A., and Widmer, G. In Proceedings of the International Computer Music Conference (ICMC), Perth, Australia, 2013. |
2012
| Evaluating
the Online Capabilities of Onset Detection Methods Böck, S., Krebs, F., and Schedl., M. In Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR), Porto, Portugal, 2012. |
| Online
Real-time Onset Detection with Recurrent Neural Networks Böck, S., Arzt, A., Krebs, F., and Schedl, M. In Proceedings of the 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, 2012. |
| Combining
Score and Filter Based Models to Predict Tempo Fluctuations in
Expressive Music Performances Krebs, F., and Grachten, M. In Proceedings of the 9th Sound and Music Computing Conference (SMC), Copenhagen, Denmark, 2012. |
