Archiv der Kategorie: MIR Research

Start of the DFG-funded project on interpretable music segmentation

Publiziert am 1. Februar 2018 von Igor Vatolkin

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 →

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Test persons are searched

Publiziert am 15. Januar 2018 von Igor Vatolkin

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.

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Job offer for a student assistant

Publiziert am 18. Dezember 2017 von Igor Vatolkin

For the project funded by the German Research Foundation, Evolutionary Optimisation of Music Categorisation based on Complex Structure Analysis of Audio Signals, a position as a student assistant (8 hours per week) is offered at the Chair of Algorithm Engineering, … Weiterlesen →

Veröffentlicht unter MIR Research, SIGMA | Hinterlasse einen Kommentar

AMUSE support of Java 1.8 and RapidMiner 5

Publiziert am 24. September 2017 von Igor Vatolkin

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 →

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Bachelor thesis on optical recognition of bagpipe notation

Publiziert am 19. Juli 2017 von Igor Vatolkin

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 →

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User study on playlist generation

Publiziert am 29. Juni 2017 von Igor Vatolkin

E-Services Research Group, TU Dortmund currently conducts a study about creating music playlists and would like to invite you to participate in an online experiment. The experiment takes about 10-15 minutes. You will be asked to create a short playlist … Weiterlesen →

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Two papers accepted for UMAP and AES

Publiziert am 5. April 2017 von Igor Vatolkin

The following papers were accepted: Kamehkhosh, I. and Jannach, D.: User Perception of Next-Track Music Recommendations. UMAP 2017, Bratislava, 2017 [describes a user case study on the evaluation of different algorithms for playlist generation with regard to perceived quality] Scholz, … Weiterlesen →

Veröffentlicht unter MIR Research, Publications | Hinterlasse einen Kommentar

Two papers accepted for EvoMUSART

Publiziert am 17. Januar 2017 von Igor Vatolkin

F. Ostermann, I. Vatolkin, G. Rudolph: Evaluation Rules for Evolutionary Generation of Drum Patterns in Jazz Solos. Proceedings of the 6th International Conference on Computational Intelligence in Music, Sound, Art and Design (EvoMUSART 2017), Amsterdam, 2017 I. Vatolkin: Generalisation Performance … Weiterlesen →

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Bachelor thesis on vocal recognition

Publiziert am 10. Dezember 2016 von Igor Vatolkin

The thesis “Florian Scholz: Gesangserkennung in polyphonen Musikaufnahmen” (Vocal recognition in polyphonic music recordings, PDF in German) compares several methods for supervised recognition of vocals in music tracks. In particular, experiments with training and test sets of different genres are … Weiterlesen →

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Update: exercises for music data analysis textbook

Publiziert am 8. Dezember 2016 von Igor Vatolkin

On the music data analysis textbook web page, the exercises manual is now available for download. Update 23.12.2016: The newer version of exercises and the list of errata were uploaded to the book web page.

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