SIGMA #42

The program of the following 42nd SIGMA meeting on 04.05.2018, 14:00-16:00, which takes place at the Institute of Communication Acoustics, Ruhr-Universität Bochum, ID 2 / room 232:

14:00-14:35 Bachelor thesis
Marco Eckey: Comparison of Characteristics of Lyrics with Audio Features for Music Genre Classification

14:35-15:00 Guest talk
Roman Klinger, University of Stuttgart: Analysis of Emotions in Social Media: Chances for Collaborations in Music Data Analysis?

15:00-15:20 Study
Johannes Gauer: Binaural Spectral Complexity Reduction of Music Signals for Cochlear Implant Listeners

15:20-15:40 Study
Igor Vatolkin, Daniel Stoller: Identification of Vocals in Polyphonic Recordings

15:40-16:00 Study
Igor Vatolkin, Günter Rudolph: Classification of Ethnic and Western Instrument Samples

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Call for Abstracts: “Statistical Musicology” Session, ECDA 2018

We would like to announce a Session “Statistical Musicology” at the 5th European Conference on Data Analysis, July 4 – 6, 2018, in Paderborn (Germany).

The ECDA conferences are well-known for both, their theoretical and their practical contributions, on various fields of classification and data analysis. The session is open to all topics in the field. The idea is to give all statistically oriented groups in the field a forum to improve communication as well as to give us the chance to also join statistical methodology oriented sessions on supervised and unsupervised learning and data analysis in general at the conference.

Please note that abstracts have to be submitted until April 1, 2018. More information and templates can be found under: http://ecda2018.de. Accepted papers corresponding to presentations will be published in the journal “Archives of Data Science, Series A”. Full papers can be submitted until September 15, 2018.

C. Weihs and I. Vatolkin
(Session Organizers)

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User survey on music listening

Within the scope of a master thesis at TU Dortmund, an online survey (in German) is currently open: https://umfragen.tu-dortmund.de/index.php/698612?lang=de
The participation time should be about 5-10 minutes and it is possible to win one of two 25€ gift vouchers for Amazon shop.

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Start of the DFG-funded project on interpretable music segmentation

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 recordings and to improve the classification of music into genres, styles, and emotions, see also the project description in the GEPRIS database.

Veröffentlicht unter MIR Research, Project News | Hinterlasse einen Kommentar

Interdisciplinary course on music data analysis in summer term 2018

The course on music data analysis (in German) based on the textbook Music Data Analysis: Foundations and Applications will again take place at TU Dortmund, this time at the Department of Computer Science and during the summer term (see also the course web page from the last year).

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Test persons are searched

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

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, Department of Computer Science, TU Dortmund. Please see the full description in German / in English.

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SIGMA #41

The program of the following 41st SIGMA meeting on 20.12.2017, 14:00-16:00, which takes place at the Department of Computer Science, TU Dortmund, Otto-Hahn-Str. 14, room 202:

14:00-14:05 Welcome greetings

14:05-14:45 Master thesis
Kerstin Wintersohl: Simultaneous Onset and Pitch Detection

14:45-15:15 Conference paper
Daniel Stoller, Queen Mary University of London: Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction

15:15-15:40 Software demo
Frederik Heerde: Annotation Editor for AMUSE

15:40-15:50 Planning of the lecture on music data analysis in summer term 2018

15:50-16:00 Miscellaneous, next meeting

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SIGMA #40

The program of the following 40th SIGMA meeting on 16.10.2017, 14:00-16:00, which takes place at Department of Statistics, TU Dortmund, Vogelpothsweg 78, room CDI 120:

14:00-14:05 Welcome greetings

14:05-14:45 Journal paper
René Grzeszick: Bag-of-Features Methods for Acoustic Event Detection and Classification

14:45-15:25 PhD thesis
Anil Nagathil: Music Signal Processing for the Reduction of Auditory distortions in Hearing-impaired Listeners

15:25-15:40 Planning of lecture on music data analysis in summer term 2018

15:40-15:50 Miscellaneous, next meeting

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AMUSE support of Java 1.8 and RapidMiner 5

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 5.

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