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A. Sarasua, Caramiaux, B., and Tanaka, A., Machine Learning of Personal Gesture Variation in Music Conducting, CHI - Human Factors in Computing Systems. ACM Press, San Jose, CA, pp. 3428-3432, 2016.
T. Gadermaier, Grachten, M., and Cancino-Chacon, C. Eduardo, Modeling Loudness Variations in Ensemble Performance, in 2nd International Conference on New Music Concepts (ICNMC 2016), Treviso, Italy, 2016.
C. F. Julià, Making Tabletops Useful with Applications, Frameworks and Multi-Tasking, Universitat Pompeu Fabra, Barcelona, 2015. thesis-Julia-Carles-F.compressed.pdf (2.81 MB)
C. C. S. Liem, Mass Media Musical Meaning: Opportunities from the Collaborative Web, 11th International Symposium on Computer Music Multidisciplinary Research (CMMR). Plymouth, UK, 2015. CMMR_2015_submission_121.pdf (1.14 MB)
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)
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)
C. C. S. Liem, Multifaceted Approaches to Music Information Retrieval, Delft University of Technology, Delft, 2015. Liem_Cynthia_CS_Dissertation.pdf (11.12 MB)
P. Knees and Schedl, M., Music Retrieval and Recommendation – A Tutorial Overview, in Proceedings of the 38th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Santiago, Chile, 2015. knees_sigir_2015.pdf (173.28 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)
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)
M. Schedl, Gómez, E., and Urbano, J., Music Information Retrieval: Recent Developments and Applications, {Foundations and Trends in Information Retrieval}, vol. 8, pp. 127–261, 2014. article_mir_online.pdf (6.4 MB)
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)
D. Hauger, Schedl, M., Košir, A., and Tkalčič, M., The Million Musical Tweets Dataset: What Can We Learn From Microblogs, in Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013), Curitiba, Brazil, 2013.
A. Martorell, Modelling tonal context dynamics by temporal multi-scale analysis, Universitat Pompeu Fabra, Barcelona, 2013. Martorell_PhD_thesis_2013.pdf (5.99 MB)
M. Schedl, Gómez, E., and Goto, M., Multimedia Information Retrieval: Music and Audio, in Proceedings of the 21st ACM International Conference on Multimedia, Barcelona, Spain, 2013.
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)