PhD Position at Harz University of Applied Sciences

PhD: EEG studies on musical harmony perception

An acoustic stimulus, e.g., a musical harmony, is transformed in a highly nonlinear way in the ear and brain during the hearing process. The periodicity of complex chords can be detected in the brain [1]. Empirical findings show that the perceived consonance of a harmony decreases with increasing (relative) periodicity [2]. The periodicity pitch of a harmony, which is usually not present as a tone component in the stimulus, can be determined.

Can the periodicity pitch of a harmony be detected in the human brain?

To investigate this and related questions, I am looking for a committed doctoral student to continue the EEG experiments on periodicity pitch detection using FFR (Frequency Following Response) that were started in [3]. You will further develop the stimulus design, record and analyze EEG data, and evaluate and critically expand models for periodicity processing.

You bring:
* interest in neuroscience, signal processing, or auditory perception
* experience with EEG/neurophysiology or good statistics/programming/computer science skills
* knowledge of music theory and harmony
* motivation for research work

EEG equipment for conducting the experiments is available at Harz University of Applied Sciences in Wernigerode, namely a Brain Products EEG system with 96 channels [4]. A doctoral project (in cooperation with a partner university or through one of the doctoral centers at Harz University of Applied Sciences) can be funded by a scholarship [5].

If you are interested in advancing this exciting research question experimentally, please contact me with a brief outline of your previous experience and interests by 30-Nov-2025, at the latest.

Prof. Dr. rer.nat. habil. Frieder Stolzenburg
Prorektor für Forschung und Chancengleichheit
FB Automatisierung und Informatik
Hochschule Harz (Harz University of Applied Sciences)
Friedrichstr. 57-59
38855 Wernigerode
GERMANY

Raum (Office): 6.008a
Tel: +49 3943 659-333
Fax: +49 3943 659-399
E-Mail: fstolzenburg@hs-harz.de
WWW: http://www.hs-harz.de/fstolzenburg
LinkedIn: https://www.linkedin.com/in/frieder-stolzenburg-6b5039174/
YouTube: https://www.youtube.com/channel/UCxX0F5G8Z5UWC80kp2mO5uw
Zoom: http://hs-harz.zoom.us/my/fstolzenburg

References:
[1] Gerald Langner. The Neural Code of Pitch and Harmony. Cambridge University Press, Cambridge, UK, 2015.
[2] Frieder Stolzenburg. Harmony perception by periodicity detection. Journal of Mathematics and Music, 9(3):215-238, 2015. URL: https://dx.doi.org/10.1080/17459737.2015.1033024.
[3] Maria Heinze, Lars Hausfeld, Rainer Goebel, and Frieder Stolzenburg. Periodicity pitch detection in complex harmonies on EEG timeline data. arXiv:2002.04990, 2020. Latest revision 2024. URL: https://doi.org/10.48550/arXiv.2002.04990.
[4] 96-Kanal Forschungs-EEG-Verstärker Typ actiCHamp Plus 96 mit zusätzlichen 8 AUX Kanälen, inkl. 64 aktive Elektroden, 3 Hauben, Starterset und BrainVision Recorder Softwarelizenz
[5] Info: https://www.hs-harz.de/forschung/promotion/finanzierung/graduiertenfoerderung

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Teaching Courses in Winter Term 2025/2026

In this winter term, there will be two lectures related to music informatics:

RWTH Aachen: Artificial Intelligence in Music
TU Dortmund: Music Data Analysis

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Paper on LLM Guided Music Evolution is Part of the AIMC 2025

Fabian Ostermann, Jonas Kramer, Günter Rudolph: Using Large Language Models as Fitness Functions in Evolutionary Algorithms for Music Generation. Proceedings of the Conference on AI Music Creativity (AIMC), 2025

Abstract: Using evolutionary algorithms for music generation is a well-researched approach. Incorporating language models into that process, however, is new. Recently, creating media from text prompts using machine learning models became a common task. For music, the main research on prompt-based generation addresses direct waveform generation. Works on symbolic music usually use other conditionals. Therefore, our concept of combining evolutionary optimization with the language-music model CLaMP presents the first attempt at prompt-based evolutionary music generation. CLaMP’s ability of estimating similarities between prompts and music is used to design a fitness function. We show that problem-specific mutation and recombination is advantageous compared to classic approaches when it comes to fulfilling desired musical properties. The overall quality of the resulting melodies is currently limited. The reasons are specific blind spots of the CLaMP model. Our concept and code, however, can easily be adapted and used with any other pre-trained model.

Veröffentlicht unter MIR Research, Publications | Schreib einen Kommentar

SIGMA #60

The program of the 60th SIGMA meeting on 10.07.2025, 14:00-16:10, which takes place at the RWTH Aachen, Chair for Artificial Intelligence Methodology, Theaterstr. 35-39, Room 325, and online (please send an email to igor.vatolkin [at] rwth-aachen.de if you wish to get the Zoom link):

14:00-14:05 Welcome greetings

14:05-14:25 Master’s thesis (proposal)
Polina Kozarovytska: Beat Tracking for Genre-Specific Datasets Obtained by Clustering

14:25-14:45 Master’s thesis (proposal)
Philipp Selz: Hierarchical Diffusion Models to Generate Synthetic Training Data for Chord Recognition

14:45-15:05 Master’s thesis (proposal)
Malte Schörken: Extending Evolutionary Approximation of Polyphonic Music via Multi-Objective Optimisation

15:05-15:25 Master’s thesis (proposal)
Anmol Bhardwaj: A Comparative Study of Feature Representations for CNN- based Music Segmentation by Boundary Type

15:25-15:50 Research preview
Justin Dettmer: Optimising Spectrogram Parameters for Musical Instrument Recognition

15:50-16:10
Music data analysis lecture at TU Dortmund; conferences and calls; miscellaneous; next meeting

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Paper with Guidelines for Multimodal Datasets Published at TISMIR

M. Gotham, B. Bemman, and I. Vatolkin: Towards an ‘Everything Corpus’: A Framework and Guidelines for the Curation of More Comprehensive Multimodal Music Data. Transactions of the International Society for Music Information Retrieval, 8(1), pp. 70-92.

Abstract: Current state-of-the-art methods for instrument and pitch detection in polyphonic music often require large datasets and long training times; resources which are sparse in the field of music information retrieval, presenting a need for unsupervised alternative methods that do not require such prerequisites. We present a modification to an evolutionary algorithm for polyphonic music approximation through synthesis that uses spectral information to initialise populations with probable pitches. This algorithm can perform joint instrument and pitch detection on polyphonic music pieces without any of the aforementioned constraints. Sets of tuples of (instrument, style, pitch) are graded with a COSH distance fitness function and finally determine the algorithm’s instrument and pitch labels for a given part of a music piece. Further investigation into this fitness function indicates that it tends to create false positives which may conceal the true potential of our modified approach. Regardless of that, our modification still shows significantly faster convergence speed and slightly improved pitch and instrument detection errors over the baseline algorithm on both single onset and full piece experiments.

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A Workshop for Live Coding and Instruments (19-20.06.2025 at TU Dortmund)

Write yourself an Orchestra

A workshop for live coding and instruments.

On the occasion of the 25th anniversary of the ensemble for contemporary chamber music at the TU Dortmund, Niklas Reppel and Alicia Champlin (hailing from Toplap Barcelona) are offering a live coding workshop. In live coding, the music already emerges during the programming  process. The source code is presented to the audience, the motto is „show us your screens!“.

In this workshop, live coders and instrumental musicians meet to discover the interactions
between music and code. The workshop concludes with a concert where the freshly  composed  results will be presented.

No previous programming knowledge required. For instrumentalists, sight reading
skills would be helpful but are not strictly necessary.

Dates: Thursday, June 19th and Friday, June 20th, from 2 p.m. to 6 p.m.
Location: Dortmund University of Applied Sciences, Max-Ophüls-Platz 2, 44139 Dortmund
Final presentation: Friday, 8 p.m., Studio 215, Dortmund University of Applied Sciences, Max-Ophüls-Platz 2, 44139 Dortmund
Lecturers: Niklas Reppel and Alicia Champlin

Registration is required by June 13th, 2025, with Dr. Maik Hester:
neuekammermusik.unimusik [AT] tu-dortmund.de

Further information:
https://unimusik.tu-dortmund.de/ensembles/ensemble-fuer-neue-kammermusik/abschlusskonzert-live-scoring-on-a-human-scale-50195
https://see.ellipsenpark.de/w/xdKmBqGsJUtTwk74REXnwG
https://github.com/the-drunk-coder/megra.rs

 

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SIGMA #59

The program of the following 59th SIGMA meeting on 05.03.2025, 14:00-16:00, which takes place at the Chair of Algorithm Engineering, Deparment of Computer Science, TU Dortmund, Otto-Hahn-Str. 14, room 202, and online (please send an email to igor.vatolkin [at] rwth-aachen.de if you wish to get the Zoom link):

14:00-14:05 Welcome greetings

14:05-14:35 Master’s thesis (proposal)
Andreas Romann: Investigating Hierarchy Design for Multi-Label Music Instrument Recognition

14:35-15:05 Research study
Jonas Kramer: Using Large Language Models as Fitness Functions in Evolutionary Algorithms for Music Generation

15:05-15:40 Research study
Claus Weihs/Igor Vatolkin: First Ideas for the Identification of the Most Relevant Audio Features for Musical Genre Recognition with Optimal Decision Trees

15:40-16:00 Conferences and calls, teaching activities, miscellaneous, next meeting

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SIGMA #58

The program of the following 58th SIGMA meeting on 15.11.2024, 14:00-16:00, which takes place at the Institute of Communication Acoustics, Ruhr-Universität Bochum, RUB building ID, room ID 04/413, and online (please send an email to igor.vatolkin [at] rwth-aachen.de if you wish to get the Zoom link):

14:00-14:05 Welcome greetings

14:05-14:45 PhD thesis (results)
Johannes Gauer (presented by Rainer Martin and Anil Nagathil): Audio Signal Processing Methods for the Enhancement of Music Perception in Cochlear Implant Listeners

14:45-15:25 Conference study
Anil Nagathil: DNN-based Approximation of Auditory Models for Normal and Impaired Hearing: Towards Model-based Hearing Loss Compensation

15:25-15:50 Master’s thesis (results)
Kaiteng Jiang: Multimodal Self-supervised Music Genre Classification with Audio and Lyrics

15:50-16:00 Conferences and calls, teaching activities, miscellaneous, next meeting    

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Call for Papers: EvoMUSART 2025

The 14th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will take place on 23-25 April 2025, as part of the evo* event.

EvoMUSART webpage: www.evostar.org/2025/evomusart/
Extended submission deadline: 15 November 2024
Conference: 23-25 April 2024

EvoMUSART is a multidisciplinary conference that brings together researchers who are working on the application of Artificial Neural Networks, Evolutionary Computation, Swarm Intelligence, Cellular Automata, Alife, and other Artificial Intelligence techniques in creative and artistic fields such as Visual Art, Music, Architecture, Video, Digital Games, Poetry, or Design. This conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area.

Submissions must be at most 14 pages long, excluding references, in Springer LNCS format. Each submission must be anonymized for a double-blind review process.

Accepted papers will be presented orally or as posters at the event and included in the EvoMUSART proceedings published by Springer Nature in a dedicated volume of the Lecture Notes in Computer Science series.

More information on the submission process and the topics of EvoMUSART: www.evostar.org/2025/evomusart/

Flyer of EvoMUSART 2025: http://www.evostar.org/2025/flyers/evomusart

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Bachelor Thesis on the Multimodal AMUSE Extension

Clara Pingel’s bachelor thesis, titled „Erweiterung von AMUSE zur Verarbeitung mehrerer Modalitäten“ (Extension of AMUSE to Process Multiple Modalities, PDF in German) focuses on the further development of the AMUSE framework. The goal of the thesis was to extend the framework to process not only audio but also symbolic data to improve the classification of music pieces. The thesis specifically addresses the integration of jSymbolic for extracting symbolic features from MIDI files and the adaptation of the graphical user interface to the new functionality. The class structure was modified to prepare for future integrations of other modalities.

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