@conference {257, title = {Improving Music Recommendations with a Weighted Factorization of the Tagging Activity}, booktitle = {Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR)}, year = {2015}, month = {October}, address = {Malaga, Spain}, author = {Andreu Vall and Marcin Skowron and Peter Knees and Markus Schedl} } @conference {235, title = {Improving score-informed source separation for classical music through note refinement}, booktitle = {16th International Society for Music Information Retrieval (ISMIR) Conference.}, year = {2015}, address = {Malaga}, author = {Marius Miron and Julio Jos{\'e} Carabias and Jordi Janer} } @conference {177, title = {On the Influence of User Characteristics on Music Recommendation}, booktitle = {Proceedings of the 37th European Conference on Information Retrieval (ECIR 2015)}, year = {2015}, month = {March{\textendash}April}, address = {Vienna, Austria}, author = {Markus Schedl and David Hauger and Katayoun Farrahi and Marko Tkal{\v c}i{\v c}} } @conference {182, title = {Iron Maiden while jogging, Debussy for dinner? - An analysis of music listening behavior in context}, booktitle = {Proceedings of the 21st International Conference on MultiMedia Modeling (MMM 2015)}, year = {2015}, month = {January}, address = {Sydney, Australia}, author = {Michael Gillhofer and Markus Schedl} } @conference {256, title = {I-Vectors for Timbre-Based Music Similarity and Music Artist Classification}, booktitle = {Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR)}, year = {2015}, month = {October}, address = {Malaga, Spain}, author = {Hamid Eghbal-zadeh and Bernhard Lehner and Markus Schedl and Gerhard Widmer} } @article {191, title = {The impact of hesitation, a social signal, on a user{\textquoteright}s quality of experience in multimedia content retrieval}, journal = {Springer Multimedia Tools and Applications}, year = {2014}, keywords = {computer interaction, hesitation, human, social signals, video-on-demand}, issn = {1380-7501}, doi = {10.1007/s11042-014-1933-2}, url = {http://link.springer.com/10.1007/s11042-014-1933-2}, author = {Vodlan, Toma{\.z} and Tkal{\v c}i{\v c}, Marko and Ko{\v s}ir, Andrej} } @conference {184, title = {Impact of Listening Behavior on Music Recommendation}, booktitle = {Proceedings of the 15th International Society for Music Information Retrieval Conference (ISMIR 2014)}, year = {2014}, month = {October}, address = {Taipei, Taiwan}, author = {Katayoun Farrahi and Markus Schedl and Andreu Vall and David Hauger and Marko Tkal{\v c}i{\v c}} } @proceedings {141, title = {Improved musical onset detection with convolutional neural networks}, journal = {Proceedings of the 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)}, year = {2014}, month = {May}, author = {Jan Schl{\"u}ter and Sebastian B{\"o}ck} } @mastersthesis {122, title = {Informed Source Separation for Multiple Instruments of Similar Timbre}, volume = {Master in Sound and Music Computing}, year = {2013}, month = {09/2013}, type = {Master Thesis}, abstract = {

This Master{\textquoteright}s thesis focuses on the challenging task of separating the musical audio sources with instruments of similar timbre. We address the case in which external pitch information to assist the separation process is available. This information is provided to the source / filter model, which is embedded in a Non-Negative Matrix Factorization (NMF) framework that processes the audio input spectrogram. Different state of the art literature methods are inspected and extended. As an extension to these, two new separation methods are proposed, the Multi-Excitation and Single Filter Instantaneous Mixture Model and the Multi-Excitation and Multi-Filter Instantaneous Mixture Model. The use of dedicated source and filter decomposition for each instrument is proposed. In addition, we introduce the use of timbre models in the separation process. Timbre models are previously trained on isolated instrument recordings. The methods are compared with the BSS Eval and PEASS evaluation toolkits over an existing dataset. Promising results obtained in the conducted experiments, which shows that this is a path to be further investigated.

}, keywords = {source Separation, Timbre modelling}, url = {http://mtg.upf.edu/system/files/publications/Jakue-Lopez-Master-Thesis-2013.pdf}, author = {L{\'o}pez, Jakue} } @conference {117, title = {Innovating the Classical Music Experience in the PHENICX Project: Use Cases and Initial User Feedback}, booktitle = {1st International Workshop on Interactive Content Consumption (WSICC) at EuroITV 2013}, year = {2013}, month = {06/2013}, address = {Como, Italy}, abstract = {

The FP7 PHENICX project focuses on creating a new digital classical concert experience, improving the accessibility of classical music concert performances by enhancing and enriching them in novel digital ways, In this paper, we present the project{\textquoteright}s foreseen use cases. Subsequently, we summarize initial use case feedback from two different user groups. Despite the early stage of the project, the feedback already gives important insight into real-world considerations to make for interactive music content consumption solutions.

}, keywords = {interactivity, multimedia information systems, multimodality, music information retrieval, performing arts, social networks, user studies}, author = {Cynthia C. S. Liem and Ron van der Sterren and Marcel van Tilburg and {\'A}lvaro Saras{\'u}a and Juan J. Bosch and Jordi Janer and Mark S. Melenhorst and Emilia G{\'o}mez and Alan Hanjalic} }