Archiv des Autors: Igor Vatolkin

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 | Schreib 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 | Schreib einen Kommentar

SIGMA #37

The program of the following 37th SIGMA meeting on 19.12.2016, 14:00-16:20, which takes place at Faculty of Statistics, TU Dortmund, Mathematics Building, room M/E27 (talks on bachelor theses in German): 14:00-14:05 Welcome greetings 14:05-14:30 Bachelor thesis Alex Runge: Analysis of … Weiterlesen

Veröffentlicht unter (Guest) Talks, Events, SIGMA | Schreib 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 | Schreib 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 | Schreib einen Kommentar

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

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

Veröffentlicht unter Conferences & Calls, Events | Schreib einen Kommentar

Course on music data analysis at TU Dortmund

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

Veröffentlicht unter Teaching Activities | Schreib 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 | Schreib 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 | Schreib einen Kommentar

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

Veröffentlicht unter (Guest) Talks, Events | Schreib einen Kommentar