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Archiv der Kategorie: MIR Research
Two papers were presented during WCCI 2020: Vatolkin, I.: Evolutionary Approximation of Instrumental Texture in Polyphonic Audio Recordings [evaluates new features based on evolutionary approximation of instrumental texture for instrument and genre recognition] Ginsel, P., Vatolkin, I. Rudolph, G.: Analysis … Weiterlesen
The book Bauer, N., Ickstadt, K., Lübke, K., Szepannek, G., Trautmann, H., Vichi, M (Eds.): Applications in Statistical Computing: From Music Data Analysis to Industrial Quality Improvement, Springer, has recently been published. This volume presents a selection of research papers … Weiterlesen
The thesis „Philipp Ginsel: Strukturelle Komplexitätsmerkmale zur Musikgenre-Klassiﬁkation mit Fuzzy-k-nearest-Neighbors“ (Structural complexity features for music genre classification with Fuzzy-k-nearest-Neighbors, PDF in German) examines different settings for extraction of structural complexity for prediction of music genres with Fuzzy KNN. The tested … Weiterlesen
The paper on evolutionary multi-objective training set selection is accepted for EvoMUSART 2019: I. Vatolkin and D. Stoller: Evolutionary Multi-Objective Training Set Selection of Data Instances and Augmentations for Vocal Detection. EvoMUSART 2019, Leipzig, 2019
The article on music rearrangement is published: D. Stoller, I. Vatolkin, and H. Müller: Intuitive and Efficient Computer-Aided Music Rearrangement with Optimised Processing of Audio Transitions. Journal of New Music Research, Routledge, 47(5):416-437, 2018
Today, the DFG-funded project „Evolutionary optimisation for interpretable music segmentation and music categorisation based on discretised semantic metafeatures“ is started. The main goal of the project is to develop new methods for the extraction of interpretable structural information of audio … Weiterlesen
We search for test persons with basic skills in jazz and improvisation, either guitar or piano players (1.5 hour experiment, 20€). Details in German are here.
For assistance during software project „Music Informatics“, a position as a student assistant (8 hours per week) is offered at the Chair of Algorithm Engineering, Department of Computer Science, TU Dortmund. Please see the full description in German.
Two recent updates (thanks to Frederik Heerde!): – AMUSE can be started now with Java 1.8 (in the older version, using of Java 1.8 led to problems for classification with trained models). – Integrated RapidMiner library was updated to version … Weiterlesen
The thesis „Andreas Jöbges: Optische Erkennung von Dudelsacknotation“ (Optical recognition of bagpipe notation, PDF in German) presents a system which produces digital score in „BWW“ format from scanned music pieces with the help of neural networks trained for the recognition … Weiterlesen