SIGMA #46

The program of the following 46th SIGMA meeting on 21.06.2019, 16:00-18:00, which takes place at the Department of Music and Musicology, TU Dortmund, Emil-Figge-Straße 50, room 4315:

16:00-16:05 Welcome greetings

16:05-16:30 Bachelor thesis
Johannes Mertens: The tuning of the Förner-Organ in the Castle Church in Weißenfels

16:30-16:50 Master thesis
Hauke Singerhoff: Music Segmentation with Convolutional Neural Networks

16:50-17:10 Master thesis
Ben Wilkes: Analysis of Image, Text, and Audio-based Features for Music Genre Classification

17:10-17:30 Software demo
Philipp Ginsel: Extensions for Music Classification in AMUSE

17:30-17:50 Database demo
Fabian Ostermann: Artificial Music Pieces for Music Segmentation and Instrument Detection

17:50-18:00 Miscellaneous, next meeting

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DANK autumn meeting in Dortmund

This year the annual autumn meeting of the AG DANK (http://www.gfkl.org/working-groups/data-analysis-numerical-classification/) will focus but not be limited to “Musical Data Analysis”. It will be hosted in Dortmund by Karsten Lübke (FOM) and Claus Weihs (TU Dortmund) on October the 10th and 11th. For further informations and/or submissions please contact karsten.luebke [at] fom.de

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Exhibition at the Dortmund “U”: “Engineering meets Art”

“Engineering meets Art”, an exhibition showing the results of a project which commemorates the 50th anniversary of the Faculty of Organic and Chemical engineering as interdisciplinary cooperation with the Faculty of Arts and Sports had been launched and will be on show at the Dortmund “U” until 23 June 2019.

The exhibition is embedded in the diversity dialogues of the TU Dortmund, a professional meeting of different disciplines and Specialized cultures at the university. Funded by the innogy foundation for
Energy and Society gGmbH both students of the Bio and Chemical engineering and students of music and photography worked in interdisciplinary teams over two semesters and developed works of art at the interface of Art and engineering.

The insights into the unknown work areas of the respective partner faculty brought inspirational ideas, new working methods and surprising change of perspective: Dead bees learn to fly, photographic film goes getting under its skin, you can hear insulin and see sound waves.

On 15.05. there was an enthusiastic bruadcast by Stefan Keim in the program “Culture at noon” at WDR3, which you can listen to here.

Impressions of the opening ceremony can be found here.

Information about individual objects and projects of the exhibition are to find here.

“Engineering meets Art” will run until 23.06.2019 in the Dortmund “U”, Leonie-Reygers terrace. Admission is free.

Accompanying the exhibition is a lovingly designed catalog which we gladly hand over to you on request.

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Bachelor thesis on music genre classification with Fuzzy KNN

The thesis “Philipp Ginsel: Strukturelle Komplexitätsmerkmale zur Musikgenre-Klassifikation mit Fuzzy-k-nearest-Neighbors” (Structural complexity features for music genre classification with Fuzzy-k-nearest-Neighbors, PDF in German) examines different settings for extraction of structural complexity for prediction of music genres with Fuzzy KNN. The tested structural compexity characteristics comprise the progress of chords, chroma, chroma-related features, harmony, instruments, tempo/rhythm, and timbre.

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Deadline approaching: GECCO 2019 in Prague

Digital Entertainment Technologies and Arts GECCO track invites submissions describing original work involving the use of computational intelligence techniques in the creative arts, including design, games, and music.

The deadline for abstracts is 30.01.2019 and for full papers 06.02.2019. For more details, see call for papers.

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Paper accepted for EvoMUSART 2019

The paper on evolutionary multi-objective training set selection is accepted for EvoMUSART 2019:

I. Vatolkin and D. Stoller: Evolutionary Multi-Objective Training Set Selection of Data Instances and Augmentations for Vocal Detection. EvoMUSART 2019, Leipzig, 2019

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SIGMA #45

The program of the following 45th SIGMA meeting on 18.12.2018, 16:00-18:00, which takes place at the Chair of Algorithm Engineering, Deparment of Computer Science, TU Dortmund, Otto-Hahn-Str. 14, room 202:

16:00-16:10 Welcome greetings

16:10-16:55 Master thesis
Ben Wilkes: Analysis of Image-, Text- and Audio-based Features for Classification of Music Genres

16:55-17:40 Guest talk
Daniel Stoller, Queen Mary University of London: Techniques for Improving Singing Voice Separation

17:40-17:50 Miscellaneous, next meeting

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SIGMA #44

The program of the following 44th SIGMA meeting on 20.09.2018, 14:00-16:00, which takes place at the Chair of Computational Statistics, TU Dortmund, Vogelpothsweg 87, room 217b:

14:00-14:10 Welcome greetings

14:10-15:10 Guest talk
Trudie Sandrock, Stellenbosch University: Multi-label Classification of Music Data

15:10-15:30 Conference study
Igor Vatolkin: Classification of Ethnic and Western Instrument Samples

15:30-15:50 Software demo
Frederik Heerde: Extensions to Annotation Editor in AMUSE

15:50-16:00 Miscellaneous, next meeting

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SIGMA #43

The program of the following 43rd SIGMA meeting on 27.07.2018, 14:00-16:00, which takes place at the Department of Music and Musicology, TU Dortmund, Emil-Figge-Straße 50, room 4307:

14:00-14:05 Welcome greetings

14:05-14:30 Master thesis
Eric Gödel: What is Open-Earness? An Online Study to Deal with Music as a Basis for a Definition

14:30-14:50 Master thesis (introduction and preliminary results)
Frederik Heerde: Construction and Evolutionary Optimisation of Fuzzy Rule Bases for Classification of Music Genres

14:50-15:10 Conference study
Iman Kamehkhosh: How Automated Recommendations Affect the Playlist Creation Behavior of Users

15:10-15:30 Conference study
Igor Vatolkin: Measurement of Robustness of Features and Classification Models on Degraded Data Sets in Music Classification

15:30-15:45 Software demo
Frederik Heerde: Extensions to Annotation Editor in AMUSE

15:45-15:55 Miscellaneous, next meeting

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Journal article on music rearrangement published

The article on music rearrangement is published:

D. Stoller, I. Vatolkin, and H. Müller: Intuitive and Efficient Computer-Aided Music Rearrangement with Optimised Processing of Audio Transitions. Journal of New Music Research, Routledge, 47(5):416-437, 2018

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