Archiv des Autors: Igor Vatolkin

Diploma thesis ready

Diploma thesis at Chair of Algorithm Engineering, TU Dortmund is finished: Verena Mattern – Ableitung Partitur-basierter Merkmale aus Audiosignaldaten (in English: Extracti0n of score-based features from audio signal)

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Vortrag über Tempoerkennung

Liebe Mitglieder der Arbeitsgruppe zur Musikanalyse, am 20. Oktober um 18 Uhr findet im Institut für Musik und Musikwissesnschaft (Emil-Figge Strasse 50 Raum 5246) ein Vortrag von Dr. Werner Van Belle zum Thema „musikalische Tempoanalyse“ statt: ‚How to measure Tempo? … Weiterlesen

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RapidMiner R plugin

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.

Veröffentlicht unter AMUSE & MIR Software, MIR Research | Schreib einen Kommentar

PPSN publication about feature selection by EA

The joint publication of the Faculty of Computational Statistics and Chair of the Algorithm Engineering (TU Dortmund) [1] was recently presented as poster at the PPSN conference in Krakow. Evolutionary strategy driven by asymmetric mutation and several hybridization methods were developed and compared for the feature selection task for … Weiterlesen

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New book about MIR

A new interesting book has been published recently at Springer: Ras, Zbigniew W.; Wieczorkowska, Alicja (Eds.): Advances in Music Information Retrieval (http://www.springer.com/engineering/mathematical/book/978-3-642-11673-5). It will be soon available in our library at Chair of Algorithm Engineering.

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Bug fixed

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!

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AMUSE beta 0.1 released

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:

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Bachelor theses available

Bachelor theses in Music Information Retrieval available at Chair of Algorithm Engineering, TU Dortmund. Please contact me for further information: igor.vatolkin@tu-dortmund.de

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Project on multi-objective optimization of music classification started

The 3-year research project „Multi-objective optimization of music classification based on high-level features with Computational Intelligence methods“ was started on the 1st April 2009. The project is funded by Klaus Tschira Foundation.

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