Dr.-Ing. Jakob Abeßer

  • 03/2022 - Present
    Visiting post-doctoral Researcher, International Audio Laboratories Erlangen, Erlangen, Germany
  • 06/2022 - Present
    Co-Investigator of the DFG-funded project Informed Sound Activity Detection in Music and Audio Recordings (ISAD-2) 
  • 04/2021 - Present
    Senior Scientist, Fraunhofer IDMT
  • 01/2018 - 07/2021
    Co-Investigator of the DFG-funded project Informed Sound Activity Detection in Music Recordings (ISAD) 
  • 10/2012 - 03/2017 
    Research Associate/Post-doctoral Researcher at The University of Music Franz Liszt, Weimar, Germany
  • 09/2014
    defended PhD thesis entitled "Automatic Transcription of Bass Guitar Tracks applied for Music Genre Classification and Sound Synthesis"
  • 05/2010-08/2010
    Research stay as visiting PhD student, Finnish Centre of Excellence in Interdisciplinary Music Research, University of Jyväskylä, Finland
  • since 10/2008
    PhD student, Fraunhofer Institute for Digital Media Technology IDMT, Germany
  • 09/2005-02/2006
    Semester abroad, Université Paul Verlain, Metz, France
  • 10/2002-09/2008
    Computer Engineering (Ingenieurinformatik) studies, University of Technology Ilmenau
  • 06/2001
    Abitur, Goetheschule Ilmenau, Staatliches Gymnasium, Ilmenau

More info: https://jakobabesser.github.io/

In my research, I combine techniques from machine learning / deep learning and audio signal processing. On the “ambient sound” side, I work mostly on sound event detection, sound polyphony estimation, and acoustic scene classification and possible applications for urban sound monitoring and bioacoustic research. One the “music” side, I’m mostly interested in automatic music transcription and instrument recognition.