Archiv der Kategorie: AMUSE & MIR Software
The following paper was accepted for SIGIR conference: I. Vatolkin, P. Ginsel, and G. Rudolph: Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade Before the presentation at SIGIR, we will update the user manual (the current … Weiterlesen
The repository of Advanced MUSic Explorer has moved to: https://github.com/AdvancedMUSicExplorer/AMUSE
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
MIR Toolbox plugin for AMUSE has been updated: MIR Toolbox 1.2.1 has been replaced by 1.4: http://amuse-framework.svn.sourceforge.net/viewvc/amuse-framework/amusePluginMIRToolbox/
Two updates providing easy extraction of new harmony-related audio features within AMUSE have been recently accomplished: Update of Chroma Toolbox plugin The AMUSE Chroma Toolbox plugin was updated to the version 2.0 (see http://www.mpi-inf.mpg.de/resources/MIR/chromatoolbox/ for more details on Chroma Toolbox). … Weiterlesen
Several new evolutionary strategies developed for the publication mentioned in http://sig-ma.de/2010/87 are now available in AMUSE for optimization of feature selection. It is possible to adjust the mutation probability based on the correlation with the label and to manage the … Weiterlesen
Data Mining framework RapidMiner has now connection to R! Many further statistical methods and even the application of any R scripts becomes possible. For further details see: http://rapid-i.com/content/view/219/1/lang,en/ In future we are going to integrate the new RapidMiner into AMUSE.
The mapping of song partitions to songs was not done correctly during the n-fold cross-validation; now this bug has been fixed. Please checkout the new AMUSE version!
Just for the ISMIR 2010 conference we have uploaded to SourceForge the 0.1 beta version of AMUSE. It is available here: http://sourceforge.net/projects/amuse-framework/ Here is a screenshot with the AMUSE experiment table: