@proceedings {278, title = {An Analysis of Agreement in Classical Music Perception and Its Relationship to Listener Characteristics}, journal = {Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016)}, year = {2016}, month = {08/2016}, address = {New York, USA}, author = {Markus Schedl and Hamid Eghbal-zadeh and Emilia G{\'o}mez and Marko Tkal{\v c}i{\v c}} } @conference {265, title = {Artificial Intelligence in the Concertgebouw}, booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence}, year = {2015}, address = {Buenos Aires, Argentina}, author = {Andreas Arzt and H. Frostel and Th. Gadermaier and M. Gasser and G. Widmer and M. Grachten} } @conference {157, title = {Analysis and prediction of expressive dynamics using Bayesian linear models}, booktitle = {1st international workshop on computer and robotic Systems for Automatic Music Performance (SAMP14)}, year = {2014}, month = {July}, address = {Venice, Italy}, author = {Grachten, M and Cancino Chac{\'o}n, C. E. and Widmer, G.} } @article {263, title = {An Assessment of Learned Score Features for Modeling Expressive Dynamics in Music}, journal = {{IEEE} Transactions on Multimedia}, volume = {16}, year = {2014}, pages = {1211{\textendash}1218}, doi = {10.1109/TMM.2014.2311013}, url = {http://dx.doi.org/10.1109/TMM.2014.2311013}, author = {M. Grachten and F. Krebs} } @conference {165, title = {Audio-to-score alignment at the note level for orchestral recordings}, booktitle = {15th International Society for Music Information Retrieval Conference}, year = {2014}, address = {Taipei, Taiwan}, keywords = {audio-to-score alignment, offset detection}, author = {Marius Miron and Julio Jos{\'e} Carabias and Janer, J.} } @conference {135, title = {Ameliorating Music Recommendation: Integrating Music Content, Music Context, and User Context for Improved Music Retrieval and Recommendation}, booktitle = {Proceedings of the 11th International Conference on Advances in Mobile Computing \& Multimedia (MoMM 2013)}, year = {2013}, month = {December}, address = {Vienna, Austria}, author = {Markus Schedl} } @conference {113, title = {Automatic alignment of music performances with structural differences}, booktitle = {Proceedings of the 14th International Society for Music Information Retrieval Conference}, year = {2013}, month = {November}, address = {Curitiba, Brazil}, abstract = {

Both in interactive music listening, and in music performance research, there is a need for automatic alignment of different recordings of the same musical piece. This task is challenging, because musical pieces often contain parts that may or may not be repeated by the performer, possibly leading to structural differences between performances (or between performance and score). The most common alignment method, dynamic time warping (DTW), cannot handle structural differences adequately, and existing approaches to deal with structural differences explicitly rely on the annotation of {\textquoteleft}{\textquoteleft}break points{\textquoteright}{\textquoteright} in one of the sequences. We propose a simple extension of the Needleman-Wunsch algorithm to deal effectively with structural differences, without relying on annotations. We evaluate several audio features for alignment, and show how an optimal value can be found for the cost-parameter of the alignment algorithm. A single cost value is demonstrated to be valid across different types of music. We demonstrate that our approach yields roughly equal alignment accuracies compared to DTW in the absence of structural differences, and superior accuracies when structural differences occur.

}, author = {Grachten, Maarten and Gasser, Martin and Andreas Arzt and Widmer, Gerhard} } @proceedings {108, title = {Automatic Melodic and Structural Analysis of Music Material for Enriched Concert Related Experiences}, journal = {In Proc. of ACM Multimedia}, year = {2013}, address = {Barcelona}, author = {J. Bosch} }