Several papers with SIGMA contributors have been accepted for GfKl 2012 post-proceedings:
I would like to announce a Session “Statistical Musicology” at the 37th annual conference of the German Classification Society (GfKl), July 10 – 12, 2013, in Luxembourg (Luxembourg).
The conferences of the GfKl are well-known for both, their theoretical and their practical contributions, on various fields of classification and data analysis. Statistical Musicology is the tenth time on the schedule of the GfKl conference. On the first nine occasions the musicology sessions comprised between 6 and 10 papers. Moreover, there were invited talks in the field in 2004 by Jan Beran, in 2009 by Taylan Cemgil, and in 2010 by myself at the conference.
In 2013 the session is again open to all topics in the field. The idea is to give all statistically oriented groups in the field a forum to improve communication as well as to give us the chance to also join statistical methodology oriented sessions on supervised and unsupervised learning and data analysis in general at the conference.
I would like to invite you and your group cordially to present a paper at the musicology session.
Please note that abstracts have to be submitted until February 28 March 31, 2013!!
More information and templates can be found under:
Papers corresponding to presentations can be published in post-conference proceedings. Full papers can be submitted until August 30, 2013.
I am looking forward to welcome you at the conference.
(Session Organizer and President of the GfKl)
CALL FOR PARTICIPATION
Digital Entertainment Technologies and Arts track (DETA) @ GECCO 2013
Genetic and Evolutionary Computation Conference
July 6-10, 2013
Amsterdam, The Netherlands
Submission deadline: January 23, 2013
Camera-ready submission: April 17, 2013
GECCO-2013 conference: July 06-10, 2013
The arts, music, and games are key application fields for computational intelligence, evolutionary computation, and related techniques. This track explicitly focuses on these areas, strengthening a domain of high scientific, commercial, and cultural relevance. We invite submissions describing original work involving the use of computational intelligence in the creative arts, including design, games, and music. Works of a methodological, experimental, or theoretical nature will be considered.
We welcome your submissions and participation!
Further detail here: http://www.csse.monash.edu.au/~aland/GECCO-2013/
A paper comparing instrument-specific and generic features for several instrument identification tasks is accepted for Proceedings of the 7th International Conference on Evolutionary Multi-Criterion Optimization (EMO), Sheffield, UK, 19-22.03.2013
I. Vatolkin, A. Nagathil, W. Theimer and R. Martin – Performance of Specific vs. Generic Feature Sets in Polyphonic Music Instrument Recognition
Dr. Matthias Mauch from Queen Mary University of London will give a talk within statistical colloquium on Thursday, 08.11.2012 (room CDI 120, TU Dortmund)
“Teasing the Music out of Digital Data – my first five years of Music Informatics Research”
The first paper summarizes the final results of the project group “Mobile music worlds – explorative games for navigation through digital music collections” and will be presented at the IEEE Conference on Computational Intelligence and Games (CIG) (Granada, Spain, 11-14.09.2012):
A. Jordan, D. Scheftelowitsch, J. Lahni, J. Hartwecker, M. Kuchem, M. Walter-Huber, N. Vortmeier, T. Delbruegger, Ü. Güler, I. Vatolkin and M. Preuss – BeatTheBeat: Music-Based Procedural Content Generation In a Mobile Game
The second paper examines the possibilities to reduce the number of music training instances based on N-Gram sorting with the following removal of outliers and similar frequent instances. It will be presented at the Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML) (Dortmund, Germany, 12-14.09.2012):
I. Vatolkin, M. Preuss and G. Rudolph – Training Set Reduction Based on 2-Gram Feature Statistics for Music Genre Recognition
MIR Toolbox plugin for AMUSE has been updated: MIR Toolbox 1.2.1 has been replaced by 1.4:
The results of a large study applying feature selection by SMS-EMOA for recognition of instruments in audio mixtures are available online and will be published in the special issue on evolutionary music of the journal Soft Computing – A Fusion of Foundations, Methodologies and Applications:
I. Vatolkin, M. Preuß, G. Rudolph, M. Eichhoff, C. Weihs: Multi-Objective Evolutionary Feature Selection for Instrument Recognition in Polyphonic Audio Mixtures.
The 2-year research project ViSTA-TV funded by European Union is started on 01.06.2012. The target of the project is to apply the actual data mining methods for analysis and recommendation of TV streams.