00493nas a2200145 4500008004100000245007300041210006900114260001900183653002900202653002100231100001800252700002700270700001400297856003600311 2014 eng d00aAudio-to-score alignment at the note level for orchestral recordings0 aAudiotoscore alignment at the note level for orchestral recordin aTaipei, Taiwan10aaudio-to-score alignment10aoffset detection1 aMiron, Marius1 aCarabias, Julio, José1 aJaner, J. uhttp://phenicx.upf.edu/node/16501176nas a2200121 4500008004100000245007200041210006900113260003400182520074600216100001500962700001400977856006300991 2013 eng d00aLow-latency Bass Separation using Harmonic-Percussion Decomposition0 aLowlatency Bass Separation using HarmonicPercussion Decompositio aMaynooth, Irelandc02/09/20133 a
Many recent approaches to musical source separation rely on model-based inference methods that take into account the signal’s harmonic structure. To address the particular case of low-latency bass separation, we propose a method that combines harmonic decomposition using a Tikhonov regularization-based algorithm, with the peak contrast analysis of the pitch likelihood function. Our experiment compares the separation performance of this method to a naive low-pass filter, a state-of-the-art NMF-based method and a near-optimal binary mask. The proposed low-latency method achieves results similar to the NMF-based high-latency approach at a lower computational cost. Therefore the method is valid for real-time implementations.
1 aMarxer, R.1 aJaner, J. uhttp://dafx13.nuim.ie/papers/11.dafx2013_submission_13.pdf01821nas a2200217 4500008004100000245008100041210006900122260003100191520117600222100001501398700001701413700001701430700001401447700001501461700001901476700002501495700001801520700001501538700001501553856003501568 2013 eng d00aPHENICX: Performances as Highly Enriched aNd Interactive Concert Experiences0 aPHENICX Performances as Highly Enriched aNd Interactive Concert aStockholm, Swedenc08/20133 aModern digital multimedia and internet technology have radically changed the ways people find entertainment and discover new interests online, seemingly without any phys- ical or social barriers. Such new access paradigms are in sharp contrast with the traditional means of entertainment. An illustrative example of this is live music concert perfor- mances that are largely being attended by dedicated audi- ences only.
This papers introduces the PHENICX project, which aims at enriching traditional concert experiences by using state- of-the-art multimedia and internet technologies. The project focuses on classical music and its main goal is twofold: (a) to make live concerts appealing to potential new au- dience and (b) to maximize the quality of concert experi- ence for everyone. Concerts will then become multimodal, multi-perspective and multilayer digital artifacts that can be easily explored, customized, personalized, (re)enjoyed and shared among the users. The paper presents the main scientific objectives on the project, provides a state of the art review on related research and presents the main chal- lenges to be addressed.
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.
10adrums10aNMF10asource Separation1 aMarxer, R.1 aJaner, J. uhttp://dafx13.nuim.ie/papers/16.dafx2013_submission_16.pdf