@proceedings {174, title = {Set-class surface analysis: a hierarchical multi-scale approach}, journal = {7th International Workshop on Machine Learning and Music (MML{\textquoteright}14)}, year = {2014}, month = {2014}, address = {Barcelona}, author = {Martorell, Agust{\'\i}n} } @conference {185, title = {Social Media and Classical Music? {\textendash} A first analysis within the PHENICX project: {\textquotedblleft}Performances as Highly Enriched aNd Interactive Concert eXperiences{\textquotedblright}}, booktitle = {SoMeRA{\textquoteright}14: Proceedings of the First International Workshop on Social Media Retrieval and Analysis}, year = {2014}, month = {July}, address = {Gold Coast, Australia}, author = {Markus Schedl} } @conference {186, title = {SoMeRA 2014: Social Media Retrieval and Analysis Workshop}, booktitle = {Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)}, year = {2014}, month = {July}, address = {Gold Coast, Australia}, author = {Markus Schedl and Peter Knees and Jialie Shen} } @proceedings {146, title = {Systematic multi-scale set-class analysis}, journal = {15th International Society for Music Information Retrieval Conference, Taipei, Taiwan}, year = {2014}, address = {Taipei (Taiwan)}, author = {Martorell, Agust{\'\i}n and G{\'o}mez, Emilia} } @conference {147, title = {Systematic set-class surface analysis: a hierarchical multi-scale approach}, booktitle = {8th European Music Analysis Conference, Leuven, Belgium}, year = {2014}, address = {Leuven (Belgium)}, author = {Martorell, Agust{\'\i}n} } @conference {132, title = {Study of regularizations and constraints in NMF-based drums monaural separation}, booktitle = {International Conference on Digital Audio Effects Conference (DAFx-13)}, year = {2013}, month = {09/2013}, abstract = {

Drums modelling is of special interest in musical source separation because of its widespread presence in western popular music. Current research has often focused on drums separation without specifically modelling the other sources present in the signal. This paper presents an extensive study of the use of regularizations and constraints to drive the factorization towards the separation between percussive and non-percussive music accompaniment. The proposed regularizations control the frequency smoothness of the basis components and the temporal sparseness of the gains. We also evaluated the use of temporal constraints on the gains to perform the separation, using both ground truth manual annotations (made publicly available) and automatically extracted transients. Objective evaluation of the results shows that, while optimal regularizations are highly dependent on the signal, drum event position contains enough information to achieve a high quality separation.

}, keywords = {drums, NMF, source Separation}, url = {http://dafx13.nuim.ie/papers/16.dafx2013_submission_16.pdf}, author = {Marxer, R. and Janer, J.} }