Paper on EAR Drummer accepted for TISMIR special collection on AI and Musical Creativity

F. Ostermann, I. Vatolkin, and G. Rudolph: Evaluating Creativity in Automatic Reactive Accompaniment of Jazz Improvisation

Abstract: Music generating computer programs can support jazz musicians and students during performance and practice, for instance by providing accompaniment for solo improvisation. However, such software typically plays sequences of static precomposed snippets and does not react to the user. In that context, it is hardly possible to determine whether such a system has any of its own creative powers. Within the scope of a user study with 20 participants, we evaluate and compare the mobile application iReal Pro to our own system, the evolutionary automatic and reactive system called ‘EAR Drummer’ that generates drum patterns as accompaniment to jazz solo improvisation. It adapts its behaviour in real-time by heuristic rules based on music properties derived from the user’s melodies. The user-based evaluation is performed by following the standardised procedure for evaluating creative systems (SPECS). The analysis of the results is based on a Linear Mixed Effects Model to consider fixed and random effects on the survey data. The model reveals that our system outperforms iReal Pro in all of SPECS’s partial components of creativity and significantly outperforms it for 7 of those 14 components including variety, originality, emotional involvement, and social interaction. Further, it is characterised as “better” and “more interesting” in the user survey. A conflicting observation is that while 70% of the study participants tend to prefer our more “creative” system as support for stage performances, only 40% find it more suitable for practice. Further analysis addresses differences between user groups defined by their played instrument, age, and musical experience.

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Job offer in computational music theory

A PhD/PostDoc position is available within a new lab for computational approaches to music theory, analysis and composition (TU Dortmund, the In­sti­tute of Music and Musicology).

Please see the full description (in German).

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Paper on multi-modal music classification accepted for Entropy

The following paper was accepted for Entropy:

B. Wilkes, I. Vatolkin, and H. Müller: Statistical and Visual Analysis of Audio, Text, and Image Features for Multi-Modal Music Genre Recognition

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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.

Veröffentlicht unter AMUSE & MIR Software, General, Teaching Activities | Schreib einen Kommentar

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

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