Job offer for a student assistant

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.

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Job offers at Dortmund Systematic Musicology Lab

Two new positions are available in the newly established Dortmund Systematic Musicology Lab, Technische Universität Dortmund, Germany:

  1. Postdoctoral Research Fellow in Systematic Musicology / Music Psychology / Music Cognition 100% E-14, for 5 years
    http://www.egermann.net/?page_id=550
    Deadline: 18 October 2021.
  2. PhD candidate in Systematic Musicology / Music Psychology / Music Cognition, 50%, E-13, for 3 years
    http://www.egermann.net/?page_id=553
    Deadline: 18 October 2021.

For more information, please contact Prof. Dr. Hauke Egermann.

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SIGMA #50

The program of the following 50th SIGMA meeting on 24.09.2021, 14:00-16:30, which takes place online
(please send an email to igor.vatolkin [at] udo.edu if you wish to get the Zoom link):

14:00-14:10 Welcome greetings + several slides on the history of SIGMA

14:10-14:40 Research study
Mark Gotham: „Representative“ examples and restrictive „rules“ in music theory

14:40-15:05 Bachelor’s thesis (intermediate results)
Felix Wolff: Optimization of the calculation of zygones in „Schuberts Winterreise Dataset“ with beat-synchronized audio features

15:05-15:15 Ongoing teachning courses, conferences and calls, miscellaneous, next meeting

15:15-16:00 Guest talk
Meinard Müller: Learning-By-Doing: Using the FMP Python Notebooks for Audio and Music Processing

16:00+ Open discussion

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SIGMA #49

The program of the following 49th SIGMA meeting on 18.06.2021, 10:00-12:10, which takes place online
(please send an email to igor.vatolkin [at] udo.edu if you wish to get the Zoom link):

10:00-10:05 Welcome greetings

10:05-10:25 Conference study
Maria Heinze, Frieder Stolzenburg (Hochschule Harz): Harmony cognition by neural transformation – an analysis by EEG

10:25-10:55 Master’s thesis (results)
Fabian Ostermann: Modelling of listener music preferences with neural networks

10:55-11:15 Bachelor’s thesis (results)
Pauline Speckmann: Integration of clustering in AMUSE

11:15-11:35 Master’s thesis (introduction)
Philipp Ginsel: Distance measures for evolutionary approximation of audio data

11:35-12:00 Conference presentation + development plan
Igor Vatolkin, Philipp Ginsel: Changes in AMUSE since its presentation at ISMIR 2010 / development plan for the next years

12:00-12:10 Ongoing teachning courses, conferences and calls, miscellaneous, next meeting

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AMUSE paper accepted for SIGIR

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 version is available at https://github.com/AdvancedMUSicExplorer/AMUSE/blob/master/amuse/docs/user_manual.pdf)

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SIGMA #48

The program of the following 48th SIGMA meeting on 15.03.2021, 14:00-16:15, which takes place online
(please send an email to igor.vatolkin [at] udo.edu if you wish to get the Zoom link):

14:00-14:05 Welcome greetings

14:05-14:40 Master’s thesis (final results)
Stephan Steup: Perception and Production of Polyrhythms: an Empiric Study

14:40-15:20 Research proposal
Nezar Dasan: Development of Automatic Proofreading for Speech to Text Applications in Arabic Language

15:20-15:40 Bachelor’s thesis (introduction)
Pauline Speckmann: Integration of Clustering in AMUSE

15:40-16:00 Master’s thesis (introduction)
Florian Scholz: Inclusion of Different Instrument Bodies for Robust Training of Neural Networks for Instrument Recognition

16:00-16:15 Ongoing teachning courses, conferences and calls, miscellaneous, next meeting

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AMUSE Repository Moved

The repository of Advanced MUSic Explorer has moved to:

https://github.com/AdvancedMUSicExplorer/AMUSE

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Teaching in Winter Term 2020/2021

Two courses will take place during the winter term at TU Dortmund (web pages in German):

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Master Thesis on Instrument Recognition

The thesis „Benedikt Adrian: Implementierung von hybriden Methoden zur Instrumentenerkennung in verrauschten Musikdaten“ (Implementation of Hybrid Methods for Instrument Recognition in Noisy Music Data, PDF in German) applies CNNs together with shallow classifiers for the recognition of instruments in polyphonic audio signals and measures the impact of data augmentation for the training of classification models.

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Two Papers Presented at WCCI 2020

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 of Structural Complexity Features for Music Genre Recognition

[provides an analysis of different parameters and features for structural complexity estimation applied to genre recognition]

Veröffentlicht unter MIR Research, Publications | Hinterlasse einen Kommentar