Teaching
Courses
- Audio Processing Seminar, Summer Term 2022
- Lab: Short-Time Fourier Transform and Chroma Features (part of Audio Processing Laboratory, Summer Term 2022)
- Lab: Short-Time Fourier Transform and Chroma Features (part of Audio Processing Laboratory, Winter Term 2021)
- Preparation Course Python Programming, Winter Term 2021/22
- Lab: Short-Time Fourier Transform and Chroma Features (part of Audio Processing Laboratory, Summer Term 2021)
- Preparation Course Python Programming, Winter Term 2020/21
- Audio Processing Seminar, Summer Term 2020
- Lab: Short-Time Fourier Transform and Chroma Features (part of Audio Processing Laboratory, Summer Term 2020)
- Lab: Short-Time Fourier Transform and Chroma Features (part of Audio Processing Laboratory, Winter Term 2019)
- Tutor Preparation Course MATLAB Programming, Winter Term 2019/20
- Lab: Short-Time Fourier Transform and Chroma Features (part of Audio Processing Laboratory, Summer Term 2019)
- Lab: Short-Time Fourier Transform and Chroma Features (part of Audio Processing Laboratory, Winter Term 2018/19)
- Tutor Preparation Course MATLAB Programming, Winter Term 2018/19
- Lab: Short-Time Fourier Transform and Chroma Features (part of Audio Processing Laboratory, Summer Term 2018)
- Lab: Short-Time Fourier Transform and Chroma Features (part of Audio Processing Laboratory, Winter Term 2017/18)
Supervised Theses
- Michael Fast: Data-Driven Singing Reconstruction and Synthesis Techniques. Master Thesis, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), ongoing. (Co-supervision with Prof. Dr. Meinard Müller, Simon Schwär, and Michael Krause.)
- Benjamin Brunner: Evaluating Tuning Estimation Algorithms for Music Processing Applications. Master Thesis, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), March 2021. (Co-supervision with Prof. Dr. Meinard Müller, Dr.-Ing. Christof Weiß, and Prof. Dr.-Ing. Robert Weigel.)
- Judith Bauer: Deep-Learning Approaches for Fundamental Frequency Estimation of Music Recordings. Master Thesis, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), November 2019. (Co-supervision with Prof. Dr. Meinard Müller, and Prof. Dr.-Ing. Andreas Maier.)
- María Alejandra Acuña Rojas: Informed Music Processing Techniques for Singing Voice Analysis. Master Thesis, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), May 2019. (Co-supervision with Prof. Dr. Meinard Müller.)
Supervised Research Internships/Projects
- Daniel Keitel: Visualization and Playback Functionalities for the Tonal Analysis of Audio Recordings. Project Music and Audio Processing (ProjMAP), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), September 2021. (Co-supervision with Prof. Dr. Meinard Müller and Dr.-Ing. Christof Weiß.)
- Vojtěch Pešek: Implementation and Evaluation of a Sawtooth-Waveform Inspired Pitch Estimator. Project Music and Audio Processing (ProjMAP), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), September 2021. (Co-supervision with Prof. Dr. Meinard Müller.)
- Sri Harsha Vadlamudi: Comparing Implementations of Fundamental Frequency Estimation Algorithms. Minor Research Project, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), February 2021. (Co-supervision with Prof. Dr. Meinard Müller.)
- Simon Schwär: Analysis of Intonation in Unaccompanied Vocal Music. Major Research Project, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), October 2020. (Co-supervision with Prof. Dr. Meinard Müller.)
- Dipanjan Datta Roy: Analysis of North Indian Classical Music. Research Internship, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), October 2020. (Co-supervision with Prof. Dr. Meinard Müller.)
- Shahmeer Shahnawaz: Investigating Time Scale Modification and Pitch Shifting Implementations. Research Internship, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), September 2020. (Co-supervision with Prof. Dr. Meinard Müller.)
- Lukas Dietz: Interactive Interface for Choir Singer Performance Analysis. Internship, Technische Hochschule Georg Simon Ohm, February 2020. (Co-supervision with Prof. Dr. Meinard Müller, Prof. Dr. Bernd Edler, and Prof. Dr. Georg Sztefka.)
- Florian Schuberth: Methods for Global Tuning Estimation. Research Internship, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), February 2020. (Co-supervision with Prof. Dr. Meinard Müller and Dr.-Ing. Christof Weiß.)
- Edgar Suárez: Implementation of Time-Domain Based Algorithms for Melody Estimation. Major Research Project, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), May 2019. (Co-supervision with Prof. Dr. Meinard Müller.)
- María Acuña: Fundamental Frequency Estimators for Analyzing Children's Songs. Research Internship, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), October 2018. (Co-supervision with Prof. Dr. Meinard Müller.)
Student Assistants (in alphabetical order)
- Satyaki Chatterjee
- Moumita Chakraborty
- Lukas Dietz
- Fatemeh Eftekhar
- Michael Fast
- Miguel Gonzalez
- Kathrin Hedrich
- Stefanie Kämmerle
- El Mehdi Lemnaouar
- Maryam Pirmoradi
- Adithyan Ramadoss
- Juan Jose Serrano Alonso
- Shahmeer Shahnawaz
- Sri Harsha Vadlamudi