Archiv des Autors: Igor Vatolkin

Diploma thesis on feature processing for classification of instruments and genres

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

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!

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

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

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

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

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

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

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

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

Veröffentlicht unter Teaching Activities | Schreib einen Kommentar