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 PM, Emil-Figge-Str. 50, R 4.313.

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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 concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects of music data analysis such as architecture, user interface and hardware. It is ideal for use in university classes with an interest in music data analysis. It also could be used in computer science and statistics as well as musicology.

Features:

  • Covers, in a comprehensive fashion, the foundations of music data analysis as well as advanced material
  • Contains all required introductory material in music, statistics and data mining
  • Shows various applications of music data analysis, including transcription and segmentation as well as chord and harmony, instrument and tempo recognition
  • Discusses implementation aspects of music data analysis, including architecture, user Interface and hardware
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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 the proceedings of ISMIR 2015
  • “Computational intelligence in games” The topics for student talks and works will be selected mainly from the proceedings of CIG 2015 and GECCO 2015
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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 approaches and a commercial playlisting service (of The Echo Nest) are reported. The results show that all tested techniques generate playlists with certain biases, e.g., towards very popular tracks, and often create playlists continuations that are quite different from those that are created by real users.

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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 with the help of lyrics. The proposed approaches are based on (a) the textual similarity and (b) the conveyed sentiment of lyrics. The results show that lyrics-based techniques are more efficient when the seed tracks (e.g., the tracks from the recent listening history of the user) are thematically related or sentimentally homogeneous.

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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 on user posts and profiles from the social networking service Twitter. The recommendation strategies exploit temporal characteristics of the social media posts and are compared with baseline techniques that use popularity and neighborhood information.

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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 selected from the proceedings of ISMIR 2014.

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    Accepted papers for RecSys and ISMIR

    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

    I. Vatolkin, G. Rudolph, C. Weihs: Evaluation of Album Effect for Feature Selection in Music Genre Recognition. Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR 2015), Malaga, 2015

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    PhD position available at the Institute of Communication Acoustics, RUB

    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 Master’s degree in electrical engineering (or must hold an equivalent degree) and should be fluent in German. More information about the position and the application procedure can be found here:

    http://www.ruhr-uni-bochum.de/ika/aktuelles/Stellenangebot_E13_H2015.pdf

    The call is open until February 27th.

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    Two papers accepted

    This month two papers were accepted.

    The first one will appear in post-proceedings of ECDA 2014 and compares audio features and playlist statistics for music classification:
    I. Vatolkin, G. Bonnin, D. Jannach – Comparing Audio Features and Playlist Statistics for Music Classification

    The second one is accepted for EvoMUSART 2015. The conference will take place on 8.4-10.4.2015 in Copenhagen, Denmark. The paper describes a method for the maximization of interpretability in music classification without a limitation to use high-level (semantic) features only:
    I. Vatolkin, G. Rudolph, C. Weihs – Interpretability of Music Classification as a Criterion for Evolutionary Multi-Objective Feature Selection

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