Learn music processing and audio research from one of the greats!

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In this podcast episode, we are extremely lucky to be able listen to and learn from Professor Meinard Müller from the International Audio Laboratories Erlangen (which is a joint institution of the University of Erlangen-Nürnberg and Fraunhofer IIS).

I’ve met professor Müller in 2019 when I was studying Advanced Signal Processing and Communications Engineering at the University of Erlangen-Nürnberg. Not only did I immensely enjoy his lecture on “Music Processing - Analysis” but also I have got to know him as an incredibly friendly and wise mentor, who goes above and beyond to help students understand a topic, develop the right skills, and advance personally.

His style of teaching has had a huge impact on how I structure my articles and videos. His book, “Fundamentals of Music Processing”, is a great example of a textbook for students. His explanations are always clear, unambiguous, and concise. The world would be better off if more textbooks were written in a similar style 😉

During the podcast episode, he does not only share his very personal story but also gives a gold mine of wisdom when it comes to finding one’s place in the research world. If you are a Bachelor, Master, or a PhD student or an industry professional, who is considering going back to academia, this is the podcast episode for you.

Thank you, Meinard, for this talk from the bottom of my heart!

Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. It will benefit both sides: more reviews mean a broader reach on Apple Podcasts and feedback can help me to improve the show and provide better quality content to you. Thank you for doing this 🙏

Episode Contents

In this podcast episode, you will learn:

  • how Meinard Müller became a professor for Music Information Retrieval at AudioLabs in Erlangen,
  • what are AudioLabs and how they relate to Fraunhofer IIS and the University of Erlangen-Nürnberg,
  • how professor Müller approaches doing teaching and research in his research group,
  • how to learn doing research and how to collaborate with your supervisor (for master thesis, PhD thesis, or other research work),
  • how to mentor your students,
  • what is the book “Fundamentals of Music Processing” about and how did the process of writing it look,
  • how to tackle huge projects,
  • what is a professor’s day-to-day life like,
  • what is music information retrieval and how did the AI/deep learning revolution influence it.


Below you’ll find all people, places, and references mentioned in the podcast episode.


  1. Meinard Müller (meinard.mueller@audiolabs-erlangen.de)
    1. Information for doctoral candidates
    2. Preparation course Python notebooks
    3. “Fundamentals of Music Processing” book
    4. “Fundamentals of Music Processing” (FMP) Jupyter notebooks
    5. libfmp Python package
  2. Masakazu Jimbo
    1. Profile on ResearchGate
    2. Profile in dblp computer science bibliography
  3. Michael Clausen
    1. Wikipedia entry
    2. Profile at the University of Bonn website
  4. Hans-Peter Seidel
    1. Profile at the Max Planck Institute website


  1. University of Bonn
  2. Louisiana State University
  3. Keio University
  4. Max Planck Institute for Informatics in Saarbrücken
  5. International Audio Laboratories (AudioLabs) Erlangen
  6. University of Erlangen-Nürnberg
    1. Advanced Signal Processing and Communications Engineering MSc program
    2. Communications and Multimedia Engineering MSc program
  7. Fraunhofer Institute for Integrated Circuits
    1. MP3 format


  1. Algebraic topology
  2. Fast Fourier transform
  3. Combinatorics
  4. Blind source separation
  5. Deep learning
  6. Python programming language
    1. Jupyter Notebooks
  7. Matlab programming language

Thank you for listening!