Teaching
Current Courses
Currently, I offer no courses.
Past Courses
- Lecture: Connectionist Temporal Classification (CTC) Loss with Applications to Theme-Based Music Retrieval, part of the Lecture on Selected Topics in Deep Learning for Audio, Speech, and Music Processing (Summer Term 2021, Friedrich-Alexander University Erlangen-Nürnberg)
- Seminar: Harmonic-Percussive-Separation, part of the Audio Processing Seminar (Summer Term 2021, Friedrich-Alexander University Erlangen-Nürnberg)
- Seminar: Connectionist Temporal Classification, part of the Audio Processing Seminar (Summer Term 2020, Friedrich-Alexander University Erlangen-Nürnberg)
- Exercise: accompanying the Music Processing Analysis lecture of Prof. Meinard Müller (Winter Term 2019/2020)
- Tutorial: Fundamentals of Music Processing – An Introduction using Python and Jupyter Notebooks (with Prof. Meinard Müller, 20th International Society for Music Information Retrieval Conference (ISMIR), Delft University of Technology, November 4, 2019)
- Workshop: Music Information Retrieval (with Dr. Christof Weiß, University of Music Karlsruhe, June 11–14, 2019)
- Exercise: accompanying the Music Processing Analysis lecture of Prof. Meinard Müller (Winter Term 2018/2019)
- Lab: Short-Time Fourier Transform and Chroma Features, part of the Audio Processing Laboratory (Summer Term 2018, Friedrich-Alexander University Erlangen-Nürnberg)
- Workshop: Music Information Retrieval (with Dr. Christof Weiß, University of Music Karlsruhe, July 10–13, 2018)
- Exercise: accompanying the Music Processing Analysis lecture of Prof. Meinard Müller (Winter Term 2017/2018)
- Seminar: Harmonic-Percussive-Separation, part of the Audio Processing Seminar (Summer Term 2017, Friedrich-Alexander University Erlangen-Nürnberg)
- Lab: Short-Time Fourier Transform and Chroma Features, part of the Audio Processing Laboratory (Summer Term 2017, Friedrich-Alexander University Erlangen-Nürnberg)
- Lab: Short-Time Fourier Transform and Chroma Features, part of the Audio Processing Laboratory (Winter Term 2016/2017, Friedrich-Alexander University Erlangen-Nürnberg)
- Exercise: Theory and Analysis of 20th Century Music (Summer Term 2016, Saarland University)
- Exercise: Methods for Analysis of Tonal Music – Introduction to Music Programming (Winter Term 2015/2016, Saarland University)
- Exercise: Editorial Practice, section Digital Editorial Techniques (with Dr. Sergi Zauner, Winter Term 2015/2016, Saarland University)
- Lecture: Symbolic Programming with Common Lisp 2 (Summer Term 2015, University of Music Karlsruhe)
- Seminar: Musical Applications of Symbolic Programming 2 – Machine Learning (Summer Term 2015, University of Music Karlsruhe)
- Lecture: Music Informatics III – Symbolic Programming with Common Lisp 1 (Winter Term 2014/2015, University of Music Karlsruhe)
- Workshop: Introduction into Programming with Python (Summer Term 2014, Edirom Summer School 2014)
- Lecture: Symbolic Programming with Common Lisp 2 (Summer Term 2014, University of Music Karlsruhe)
- Seminar: Musical Applications of Symbolic Programming 2 – Machine Learning (Summer Term 2014, University of Music Karlsruhe)
- Lecture: Music Informatics III – Symbolic Programming with Common Lisp 1 (Winter Term 2013/2014, University of Music Karlsruhe)
Reviewed/Supervised Theses
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Julian Brandner: Efficient Cross-Version Music Retrieval Using Dimensionality Reduction and lndexing Techniques. Master Thesis in Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), November 2019. (Co-supervision with Prof. Dr. Meinard Müller and Prof. Dr.-Ing. Andreas Maier.)
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Helmut Hedwig: Audio Processing Techniques for Constraint-Based Music Remixing. Master Thesis in Electrical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), September 2017. (Co-supervision with Prof. Dr. Meinard Müller.)
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Kevin Kasprzyk: Digital Audio Broadcasting (DAB). Geschichte, Technik und Zukunft des Digitalradios. Bachelor Thesis in Musicology, Saarland University, October 2016. (Co-supervision with Prof. Dr. Rainer Kleinertz.)
Supervised Research Internships
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Lu Cheng: Version Identification of Music Recordings for Choir Music (2020, FAU, I&K)
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Angel Villar-Corrales: Deep Learning Techniques for Cross-Version Retrieval of Music Recordings (2019/20, FAU, ASC)