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

Veröffentlicht unter SIGMA | Hinterlasse einen Kommentar

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

Interdisciplinary course on music data analysis in summer term 2017

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, Department of Statistics in September 2017 (see also the course web page from the last year)

Veröffentlicht unter Teaching Activities | Hinterlasse einen Kommentar

SIGMA #39

The program of the following 39th SIGMA meeting on 25.07.2017, 14:00-16:00, which takes place at Faculty of Computer Science, TU Dortmund, Otto-Hahn-Str. 14, room E04
(talks in German):

14:00-14:05 Welcome greetings

14:05-14:35 Bachelor thesis
Andreas Jöbges: Optical recognition of bagpipe notation

14:35-15:05 Bachelor thesis
Oliver Magiera: Recognition of melodic patterns in symbolic music data

15:05-15:35 Project group
PG 607: Reactive Jukebox – state after the 1st term

15:35-15:55 Planning of lectures on music data analysis in summer terms 2017 and 2018

15:55-16:00 Miscellaneous, next meeting

Veröffentlicht unter (Guest) Talks, Events, SIGMA | Hinterlasse einen Kommentar

Bachelor thesis on optical recognition of bagpipe notation

The thesis “Andreas Jöbges: Optische Erkennung von Dudelsacknotation” (Optical recognition of bagpipe notation, PDF in German) presents a system which produces digital score in “BWW” format from scanned music pieces with the help of neural networks trained for the recognition of notes and specific symbols in bagpipe notation.

Veröffentlicht unter MIR Research, Theses | Hinterlasse einen Kommentar

User study on playlist generation

E-Services Research Group, TU Dortmund currently conducts a study about creating music playlists and would like to invite you to participate in an online experiment.

The experiment takes about 10-15 minutes. You will be asked to create a short playlist for a particular occasion and to give us some feedback on the process.
There you can, of course, discover new and exciting music, too.

Start the experiment here: http://bit.ly/playlisting-en.

Veröffentlicht unter MIR Research | Hinterlasse einen Kommentar

Call for participation: Workshop and tutorial in Chemnitz

The German-speaking workshop “Musik trifft Informatik” (“music meets computer science”) will be supported with a tutorial on automatic music processing. Please see details below (in German):

GI Workshop: Musik trifft Informatik
47. Jahrestagung der Gesellschaft für Informatik e.V. (GI)
Chemnitz, Germany, 26 September 2017
https://www.audiolabs-erlangen.de/resources/MIR/2017-GI-Workshop-Musik/

GI Tutorial: Automatisierte Methoden der Musikverarbeitung
47. Jahrestagung der Gesellschaft für Informatik e.V. (GI)
Chemnitz, Germany, 25 September 2017
https://www.audiolabs-erlangen.de/resources/MIR/2017-GI-Tutorial-Musik/

Veröffentlicht unter Conferences & Calls, Events | Hinterlasse einen Kommentar

Two papers accepted for UMAP and AES

The following papers were accepted:

Kamehkhosh, I. and Jannach, D.: User Perception of Next-Track Music Recommendations. UMAP 2017, Bratislava, 2017

[describes a user case study on the evaluation of different algorithms for playlist generation with regard to perceived quality]

Scholz, F., Vatolkin, I., and Rudolph, G.: Singing Voice Detection across Different Music Genres. AES 2017), Erlangen, 2017

[compares three methods for recognition of vocals using distinct training and validation sets from six music genres]

Veröffentlicht unter MIR Research, Publications | Hinterlasse einen Kommentar

Call for papers: German-speaking workshop “Musik trifft Informatik” (“music meets computer science”), Chemnitz, 26.09.2017

Im Rahmen der 47. Jahrestagung der Gesellschaft für Informatik e.V. (GI) in Chemnitz findet ein Workshop zum Thema “Musik trifft Informatik” statt. Details zu Beiträgen und Inhalten findet man auf den folgenden Webseiten:

https://www.audiolabs-erlangen.de/resources/MIR/2017-GI-Workshop-Musik/
https://informatik2017.de/ws01-musik-trifft-informatik/

Wichtige Termine

  • Einreichung von Beiträgen: bis 23.04.2017
  • Entscheidung über die Annahme: bis 22.05.2017
  • Einreichung der druckfähigen Version: bis 30.06.2017
  • Workshop: 26.09.2017

Weiterhin wird es ein Tutorial zum Thema “Musikverarbeitung” geben. Details findet man auf den folgenden Webseiten:

https://www.audiolabs-erlangen.de/resources/MIR/2017-GI-Tutorial-Musik/
https://informatik2017.de/tut01-musikverarbeitung/
Termin: 25.09.2017

Veröffentlicht unter Conferences & Calls, Events | Hinterlasse einen Kommentar

Project group “The Reactive Jukebox” starts in summer term

The student project group “The Reactive Jukebox” (supervised by D. Jannach and I. Vatolkin) will start in summer term 2017.

The goal of the project is to develop an application for music recommendation with an interactive interface to listener requests. Such interaction should be done in an intuitive and user-friendly way, for instance providing feeback in a spoken language or describing music with the help of interpretable semantic features (“please recommend me faster songs with more distorted guitars and more vocal segments”). For the indexing of music, it is planned to integrate features of different sources, like community tags, meta data, audio descriptors, or symbolic characteristics.

Veröffentlicht unter Teaching Activities | Hinterlasse einen Kommentar