TY  - Generic
T1  - Set-class surface analysis: a hierarchical multi-scale approach
T2  - 7th International Workshop on Machine Learning and Music (MML'14)
Y1  - 2014
A1  - Martorell, Agustín
JF  - 7th International Workshop on Machine Learning and Music (MML'14)
CY  - Barcelona
ER  - 

TY  - CONF
T1  - Social Media and Classical Music? – A first analysis within the PHENICX project: “Performances as Highly Enriched aNd Interactive Concert eXperiences”
T2  - SoMeRA'14: Proceedings of the First International Workshop on Social Media Retrieval and Analysis
Y1  - 2014
A1  - Markus Schedl
JF  - SoMeRA'14: Proceedings of the First International Workshop on Social Media Retrieval and Analysis
CY  - Gold Coast, Australia
ER  - 

TY  - CONF
T1  - SoMeRA 2014: Social Media Retrieval and Analysis Workshop
T2  - Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Y1  - 2014
A1  - Markus Schedl
A1  - Peter Knees
A1  - Jialie Shen
JF  - Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
CY  - Gold Coast, Australia
ER  - 

TY  - Generic
T1  - Systematic multi-scale set-class analysis
T2  - 15th International Society for Music Information Retrieval Conference, Taipei, Taiwan
Y1  - 2014
A1  - Martorell, Agustín
A1  - Gómez, Emilia
JF  - 15th International Society for Music Information Retrieval Conference, Taipei, Taiwan
CY  - Taipei (Taiwan)
ER  - 

TY  - CONF
T1  - Systematic set-class surface analysis: a hierarchical multi-scale approach
T2  - 8th European Music Analysis Conference, Leuven, Belgium
Y1  - 2014
A1  - Martorell, Agustín
JF  - 8th European Music Analysis Conference, Leuven, Belgium
CY  - Leuven (Belgium)
ER  - 

TY  - CONF
T1  - Study of regularizations and constraints in NMF-based drums monaural separation
T2  - International Conference on Digital Audio Effects Conference (DAFx-13)
Y1  - 2013
A1  - Marxer, R.
A1  - Janer, J.
KW  - drums
KW  - NMF
KW  - source Separation
AB  - <p><span style="color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 11px; line-height: 18.559999465942383px;">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.</span></p>
JF  - International Conference on Digital Audio Effects Conference (DAFx-13)
UR  - http://dafx13.nuim.ie/papers/16.dafx2013_submission_16.pdf
ER  -