00504nas a2200145 4500008004100000245008300041210006900124260001200193100002500205700002500230700001800255700002400273700002500297856003600322 2015 eng d00aA Tablet App to Enrich the Live and Post-Live Experience of Classical Concerts0 aTablet App to Enrich the Live and PostLive Experience of Classic c06/20151 aMelenhorst, Mark, S.1 avan der Sterren, Ron1 aArzt, Andreas1 aMartorell, Agustín1 aLiem, Cynthia, C. S. uhttp://phenicx.upf.edu/node/24700421nas a2200109 4500008004100000245010000041210006900141260002800210100001900238700001800257856003600275 2015 eng d00aTailoring Music Recommendations to Users by Considering Diversity, Mainstreaminess, and Novelty0 aTailoring Music Recommendations to Users by Considering Diversit aSantiago, ChilecAugust1 aSchedl, Markus1 aHauger, David uhttp://phenicx.upf.edu/node/26100430nas a2200121 4500008004100000245006600041210006500107260003700172100002400209700001900233700002000252856003600272 2015 eng d00aTimbral Modeling for Music Artist Recognition Using I-vectors0 aTimbral Modeling for Music Artist Recognition Using Ivectors aNice, FrancecAugust–September1 aEghbal-zadeh, Hamid1 aSchedl, Markus1 aWidmer, Gerhard uhttp://phenicx.upf.edu/node/25800343nas a2200097 4500008004100000245005800041210005800099260003300157100001900190856003600209 2015 eng d00aTowards Personalizing Classical Music Recommendations0 aTowards Personalizing Classical Music Recommendations aAtlantic City, USAcNovember1 aSchedl, Markus uhttp://phenicx.upf.edu/node/25300391nas a2200109 4500008004100000245008200041210006900123100001800192700001500210700002000225856003600245 2014 eng d00aTempo- and Transposition-invariant Identification of Piece and Score Position0 aTempo and Transpositioninvariant Identification of Piece and Sco1 aArzt, Andreas1 aWidmer, G.1 aSonnleitner, R. uhttp://phenicx.upf.edu/node/26900461nas a2200121 4500008004100000245011000041210006900151260002300220100002000243700001900263700002100282856003600303 2014 eng d00aTo Post or Not to Post: The Effects of Persuasive Cues and Group Targeting Mechanisms on Posting Behavior0 aTo Post or Not to Post The Effects of Persuasive Cues and Group aStanford, USAcMay1 aFerwerda, Bruce1 aSchedl, Markus1 aTkalčič, Marko uhttp://phenicx.upf.edu/node/17901078nas a2200145 4500008004100000245008500041210006900126260002100195520060000216100002400816700001900840700001800859700002000877856003500897 2013 eng d00aTracking Rests and Tempo Changes: Improved Score Following with Particle Filters0 aTracking Rests and Tempo Changes Improved Score Following with P aPerth, Australia3 a
In this paper we present a score following system based on a Dynamic Bayesian Network, using particle filtering as inference method. The proposed model sets itself apart from existing approaches by including two new extensions: A multi-level tempo model to improve alignment quality of performances with challenging tempo changes, and an extension to reflect different expressive characteristics of notated rests. Both extensions are evaluated against a dataset of classical piano music. As the results show, the extensions improve both the accuracy and the robustness of the algorithm.
1 aKorzeniowski, Filip1 aKrebs, Florian1 aArzt, Andreas1 aWidmer, Gerhard uhttp://phenicx.upf.edu/node/90