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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

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

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.