Publications

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P
A. Nikrang, Collins, T., and Widmer, G., “PatternViewer: An Application for Exploring Repetitive and Tonal Structure”, in Proceedings of the 15th International Society for Music Information Retrieval Conference (ISMIR 2014), Taipei, Taiwan, 2014. PatternViewer_ISMIR_2014.pdf (479.84 KB)
M
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.
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.
I
M. Miron, Carabias, J. José, and Janer, J., “Improving score-informed source separation for classical music through note refinement”, in 16th International Society for Music Information Retrieval (ISMIR) Conference., Malaga, 2015. Improving score-informed source separation for classical music through note refinement.pdf (843.09 KB)
E
C. E. Cancino Chacón and Grachten, M., “An evaluation of score descriptors combined with non-linear models of expressive dynamics in music”, in Proceedings of the 18th International Conference on Discovery Science (DS 2015), Banff, Canada, 2015. CancinoGrachten-DS-2015-preprint.pdf (133.14 KB)
B
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
M. Miron, Carabias, J. José, and Janer, J., “Audio-to-score alignment at the note level for orchestral recordings”, in 15th International Society for Music Information Retrieval Conference, Taipei, Taiwan, 2014.
M. Grachten, Chacón, C. E. Cancino, and Widmer, G., “Analysis and prediction of expressive dynamics using Bayesian linear models”, in 1st international workshop on computer and robotic Systems for Automatic Music Performance (SAMP14), Venice, Italy, 2014. GrachtenEtAl-SAMP-2014-CameraReady.pdf (392.66 KB)