Archiv der Kategorie: MIR Research

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

Veröffentlicht unter MIR Research, Publications | Hinterlasse einen Kommentar

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

Veröffentlicht unter MIR Research, Theses | Hinterlasse einen Kommentar

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.

Veröffentlicht unter MIR Research, SIGMA, Teaching Activities | Hinterlasse einen Kommentar

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

Veröffentlicht unter MIR Research | Hinterlasse einen Kommentar

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 http://sig-ma.de/music-data-analysis-book

Veröffentlicht unter MIR Research, Publications, SIGMA, Teaching Activities | Hinterlasse einen Kommentar

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

Veröffentlicht unter MIR Research, Theses | Hinterlasse einen Kommentar

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

Veröffentlicht unter MIR Research, Theses | Hinterlasse einen Kommentar

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

Veröffentlicht unter Publications | Hinterlasse einen Kommentar

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

Veröffentlicht unter Publications | Hinterlasse einen Kommentar

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

Veröffentlicht unter Theses | Hinterlasse einen Kommentar