Publications

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A
A. Arzt, Frostel, H., Gadermaier, T., Gasser, M., Widmer, G., and Grachten, M., Artificial Intelligence in the Concertgebouw, in Proceedings of the International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, 2015. IJCAI15-343.pdf (6.63 MB)
G
M. Grachten, Gasser, M., Arzt, A., and Widmer, G., Automatic alignment of music performances with structural differences, in Proceedings of the 14th International Society for Music Information Retrieval Conference, Curitiba, Brazil, 2013. mgrachten-et-al-ISMIR2013.pdf (371.57 KB)
M. Grachten and Krebs, F., An Assessment of Learned Score Features for Modeling Expressive Dynamics in Music, {IEEE} Transactions on Multimedia, vol. 16, pp. 1211–1218, 2014. GrachtenKrebs-TMM2311013-preprint.pdf (731.59 KB)
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)
M
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.
S
M. Schedl, Ameliorating Music Recommendation: Integrating Music Content, Music Context, and User Context for Improved Music Retrieval and Recommendation, in Proceedings of the 11th International Conference on Advances in Mobile Computing & Multimedia (MoMM 2013), Vienna, Austria, 2013.
M. Schedl, Eghbal-zadeh, H., Gómez, E., and Tkalčič, M., An Analysis of Agreement in Classical Music Perception and Its Relationship to Listener Characteristics, Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016). New York, USA, 2016. eroica-study_ismir_2016.pdf (125.97 KB)