Archiv des Autors: Igor Vatolkin

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. … Weiterlesen

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Two papers accepted for EvoMUSART

F. Ostermann, I. Vatolkin, G. Rudolph: Evaluation Rules for Evolutionary Generation of Drum Patterns in Jazz Solos. Proceedings of the 6th International Conference on Computational Intelligence in Music, Sound, Art and Design (EvoMUSART 2017), Amsterdam, 2017 I. Vatolkin: Generalisation Performance … Weiterlesen

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Bachelor thesis on vocal recognition

The thesis “Florian Scholz: Gesangserkennung in polyphonen Musikaufnahmen” (Vocal recognition in polyphonic music recordings, PDF in German) compares several methods for supervised recognition of vocals in music tracks. In particular, experiments with training and test sets of different genres are … Weiterlesen

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Update: exercises for music data analysis textbook

On the music data analysis textbook web page, the exercises manual is now available for download. Update 23.12.2016: The newer version of exercises and the list of errata were uploaded to the book web page.

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The program of the following 37th SIGMA meeting on 19.12.2016, 14:00-16:20, which takes place at Faculty of Statistics, TU Dortmund, Mathematics Building, room M/E27 (talks on bachelor theses in German): 14:00-14:05 Welcome greetings 14:05-14:30 Bachelor thesis Alex Runge: Analysis of … Weiterlesen

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Online survey on music recommendation

The e-Services research group of the computer science department, TU Dortmund is conducting a user study about automated music recommendation and would like to invite you to participate in an online experiment. The experiment takes about 10 minutes. You will … Weiterlesen

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Music data analysis book is published

The textbook on music data analysis is now published. Weihs, C., Jannach, D., Vatolkin, I., Rudolph, G. (Eds.): Music data analysis: foundations and applications For the list of chapters, see

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Call for papers: GECCO 2017 in Berlin, Germany (15-19.07.2017)

The GECCO 2017 Program Committee invites the submission of technical papers describing your best work in genetic and evolutionary computation. As in previous GECCO conferences, the digital entertainment technologies and arts (DETA) track invites submissions describing original work involving the … Weiterlesen

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Course on music data analysis at TU Dortmund

In September 2016, the interdisciplinary course on music data analysis based on the textbook “Music Data Analysis: Foundations and Applications” took place at the Faculty of Statistics, TU Dortmund. The course contained lectures, exercises, and an a written examination. The … Weiterlesen

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Bachelor thesis on the impact of cepstral features for emotion recognition

In the thesis “Philipp Kramer: Relevanz cepstraler Merkmale für Vorhersagen im Arousal-Valence Modell auf Musiksignaldaten” (Relevance of cepstral features for predictions in arousal-valence model for music signals, PDF in German), several groups of features were analysed for the regression-based prediction … Weiterlesen

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