Publications

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Filters: Author is Sebastian Böck  [Clear All Filters]
2014
T. Collins, Böck, S., Krebs, F., and Widmer, G., Bridging the Audio-Symbolic Gap: The Discovery of Repeated Note Content Directly from Polyphonic Music Audio, in 53rd AES Conference on Semantic Audio, London, UK, 2014.
A. Arzt, Böck, S., Flossmann, S., Frostel, H., Gasser, M., and Widmer, G., The Complete Classical Music Companion V0.9, in 53rd AES Conference on Semantic Audio, London, UK, 2014.
J. Schlüter and Böck, S., Improved musical onset detection with convolutional neural networks, Proceedings of the 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). 2014.
A. Arzt, Böck, S., Flossmann, S., Frostel, H., Gasser, M., Liem, C. C. S., and Widmer, G., The Piano Music Companion, in Proceedings of the Conference on Prestigious Applications of Intelligent Systems (PAIS), 2014.
2013
S. Böck, Schlüter, J., and Widmer, G., Enhanced peak picking for onset detection with recurrent neural networks, in Proceedings of the 6th International Workshop on Machine Learning and Music, Prague, Czech Republic, 2013. Boeck_MML13.pdf (178.65 KB)
S. Böck and Widmer, G., Local Group Delay based Vibrato and Tremolo Suppression for Onset Detection, in Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013), Curitiba, Brazil, 2013. Boeck_ISMIR_2013.pdf (351.43 KB)
S. Böck and Widmer, G., Maximum Filter Vibrato Suppression for Onset Detection, in Proceedings of the 16th International Conference on Digital Audio Effects (DAFx-13), Maynooth, Ireland, 2013. Boeck_DAFx-13.pdf (481.6 KB)
J. Schlüter and Böck, S., Musical Onset Detection with Convolutional Neural Networks, in Proceedings of the 6th International Workshop on Machine Learning and Music, Prague, Czech Republic, 2013. Schlueter_MML13.pdf (321.21 KB)
F. Krebs, Böck, S., and Widmer, G., Rhytmic Pattern Modeling for Beat and Downbeat Tracking in Musical Audio, Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013). 2013. Krebs_ISMIR_2013.pdf (303.61 KB)