Archiv des Autors: Igor Vatolkin

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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Bachelor thesis on generation of drum accompaniment to improvised Jazz solos

Publiziert am 5. Dezember 2015 von Igor Vatolkin

The goal of the thesis (PDF in German) was to develop a system for the automatic generation of drum accompaniment to improvised Jazz solos. This is solved by means of an evolutionary algorithm. A list of rules is defined for … Weiterlesen →

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Master thesis on music restructuring finished

Publiziert am 10. September 2015 von Igor Vatolkin

This thesis addressed the problem of automatically rearranging any given music piece based on user-defined constraints. Rearranged music pieces are generated by playing back the original piece and jumping from one position in the original to another at specific times. … Weiterlesen →

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Proseminar on music data analysis

Publiziert am 17. Juli 2015 von Igor Vatolkin

In winter term 2015/2016, a proseminar „Actual challenges in music data analysis“ (website in German) will take place at Chair of Algorithm Engineering, TU Dortmund. The topics for student talks and works should represent various MIR research areas and are … Weiterlesen →

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Accepted papers for RecSys and ISMIR

Publiziert am 30. Juni 2015 von Igor Vatolkin

Two papers were accepted for upcoming conferences: D. Jannach, L. Lerche, I. Kamehkhosh: Beyond „Hitting the Hits“ – Generating Coherent Music Playlist Continuations with the Right Tracks. Proceedings of the 9th ACM Conference on Recommender Systems (RecSys 2015), Vienna, 2015 … Weiterlesen →

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PhD position available at the Institute of Communication Acoustics, RUB

Publiziert am 11. Februar 2015 von Igor Vatolkin

A PhD position is available at the Institute of Communication Acoustics, Ruhr-Universität Bochum, Germany. The PhD project aims at the development and the experimental evaluation of algorithms for music signal processing in hearing devices. The applicant must have completed a … Weiterlesen →

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