Archiv des Autors: Igor Vatolkin

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

Publiziert am 31. Oktober 2016 von Igor Vatolkin

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

Publiziert am 1. Oktober 2016 von Igor Vatolkin

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

Publiziert am 13. Juli 2016 von Igor Vatolkin

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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Diploma thesis on feature processing for classification of instruments and genres

Publiziert am 7. Juli 2016 von Igor Vatolkin

The task of the thesis „Ettiboa Adouakou: Zur Bedeutung verlaufspezifischer Merkmale bei Klassifikationsproblemen auf Musiksignaldaten“ (On the meaning of time-based feature aggregation for classification of audio signal data), PDF in German) was to compare several groups of time-based feature aggregation … Weiterlesen →

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Invited talk by Prof. Gerald Langner

Publiziert am 9. Juni 2016 von Igor Vatolkin

Prof. Dr. Gerald Langner from TU Darmstadt will give a talk „Der neuronale Code von Tonhöhe, Klang und Harmonie“ (The neural code of pitch, sound, and harmony) at the Institute of Music and Music Science, TU Dortmund on 6.7.2016, 14-16 … Weiterlesen →

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Music data analysis book can be pre-ordered now!

Publiziert am 20. Mai 2016 von Igor Vatolkin

Weihs, C., Jannach, D., Vatolkin, I., Rudolph, G. (Eds.): Music data analysis: foundations and applications. https://www.crcpress.com/Music-Data-Analysis-Foundations-and-Applications/Weihs-Jannach-Vatolkin-Rudolph/p/book/9781498719568 This book edited and co-authored by SIGMA members and several partners provides a comprehensive overview of music data analysis, from introductory material to advanced … Weiterlesen →

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Proseminars on music data analysis and computational intelligence in games

Publiziert am 15. Mai 2016 von Igor Vatolkin

In winter term 2016/2017, two proseminars will take place at Chair of Algorithm Engineering, TU Dortmund: „Actual challenges in music data analysis“ The topics for student talks and works should represent various MIR research areas and will be selected from … Weiterlesen →

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UMAP paper accepted

Publiziert am 16. April 2016 von Igor Vatolkin

Jannach, D., Kamehkhosch, I., Bonnin, G.: Biases in Automated Music Playlist Generation: A Comparison of Next-Track Recommending Techniques, User Modeling, Adaptation and Personalization (UMAP 2016), Halifax, CA, 2016 In this work, the results of a multi-metric comparison of different academic … Weiterlesen →

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Master thesis on lyrics finished

Publiziert am 10. April 2016 von Igor Vatolkin

Florian Treinat: Verwendung von Lyrics zur Generierung von Musik-Playlisten (Application of lyrics for generation of music playlists) (supervisors: Dietmar Jannach, Iman Kamehkhosh, e-Services Research Group, TU Dortmund) The goal of this work was to improve the quality of music recommendations … Weiterlesen →

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Master thesis on Twitter music data finished

Publiziert am 1. Februar 2016 von Igor Vatolkin

Mike Gösker: #nowplaying: Analyse musikbezogener Twitterdaten (Analysis of music-related Twitter data) (supervisors: Dietmar Jannach, Lukas Lerche, e-Services Research Group, TU Dortmund) In his master’s thesis Mike Gösker implemented and evaluated a set of techniques to generate music track recommendations based … Weiterlesen →

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