Publications

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Conference Proceedings
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)
J. Bosch and Gómez, E., “Melody extraction in symphonic classical music: a comparative study of mutual agreement between humans and algorithms”, 9th Conference on Interdisciplinary Musicology – CIM14. Berlin, 2014. cim14_submission_114_ready.pdf (740.38 KB)
C. C. S. Liem, Bazzica, A., and Hanjalic, A., “Looking Beyond Sound: Unsupervised Analysis of Musician Videos”, 14th International Workshop on Image and Audio Analysis for Multimedia Interactive services (WIA2MIS). IEEE, Paris, France, 2013. Liem_Bazzica_Hanjalic_WIAMIS2013.pdf (722.81 KB)
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.
J. Bosch, “Automatic Melodic and Structural Analysis of Music Material for Enriched Concert Related Experiences”, In Proc. of ACM Multimedia. Barcelona, 2013. mm135d-Bosch.pdf (717.88 KB)
Conference Paper
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.
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)
M. Schedl, Breitschopf, G., and Ionescu, B., “Mobile Music Genius: Reggae at the Beach, Metal on a Friday Night?”, in Proceedings of the 2014 ACM International Conference on Multimedia Retrieval (ICMR), Glasgow, UK, 2014. 213-Schedl.pdf (485.98 KB)
J. Bosch, Mayor, O., and Gómez, E., “Melovizz: A Web-based tool for Score-Informed Melody Extraction Visualization”, in ISMIR (Late Breaking Demo), 2015. ISMIR LBD Bosch - melovizz melody extraction visualisation.pdf (326.92 KB)
J. Bosch and Gómez, E., “Melody extraction by means of a source-filter model and pitch contour characterization (MIREX 2015)”, in Music Information Retrieval Evaluation eXchange (MIREX), 2015. Bosch MIREX 2015.pdf (129.05 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)
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)
C. C. S. Liem, van der Sterren, R., van Tilburg, M., Sarasúa, Á., Bosch, J. J., Janer, J., Melenhorst, M. S., Gómez, E., and Hanjalic, A., “Innovating the Classical Music Experience in the PHENICX Project: Use Cases and Initial User Feedback”, in 1st International Workshop on Interactive Content Consumption (WSICC) at EuroITV 2013, Como, Italy, 2013. phenicx_euroitv13wsicc.pdf (86.1 KB)
A. Bazzica, Liem, C. C. S., and Hanjalic, A., “Exploiting Instrument-wise Playing/Non-Playing Labels for Score Synchronization of Symphonic Music”, in Proceedings of the 15th International Society for Music Information Retrieval Conference, Taipei, Taiwan, 2014.
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)
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.
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.