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Thomas
Dethmann

Thomas Dethmann

ML Research Engineer | Musician

Audio enthusiast at the intersection of music, acoustics, and deep learning.

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01 / About

Background

I hold two Bachelor's degrees — one in English and American Studies & Musicology, and another in Audio and Video, which included a semester abroad at LTU in Southfield, MI studying Audio Engineering.

I then pursued a Master's degree in Audio Communication and Technology, during which I worked as a Machine Learning Engineer Intern at Apple. My Master's thesis, Automatic Drum Transcription with Deep Neural Networks, was supervised by Prof. Weinzierl and Andreas Arzt.

In my spare time, I'm the drummer of Fil der Protagonist.

Machine Learning

Deep neural networks for audio signal processing and automatic transcription.

Audio & Acoustics

Signal processing, sound synthesis, and audio communication technology.

Research

Master's thesis on Automatic Drum Transcription with Deep Neural Networks.

Musician

Drummer of Fil der Protagonist. Three years of formal drum studies.

02 / Work

Projects

Deep Learning

Automatic Drum Transcription

Deep learning-based automatic drum transcription (ADT) system. At first, you hear the originally recorded drums followed by the ADT version, where all subtypes of drum hits are mapped to Kick, Snare, Tom, Hi-Hat, Crash, Ride, and Bell. Finally, the original transitions to the ADT version for direct comparison.

Sound Synthesis

COVID-19 Sonification

In order to better understand the changes of COVID-19, we implemented a sonification of the RKI COVID-19 dataset using Python and Faust.

Real-time Audio Programming

RTAP Synthesizer

A functioning Pure Data synthesizer patch with an additional external written in C. Developed as a collaborative student project.

03 / Music

Solo / Band

Solo Performance

Final Exam

During my Bachelor's in Audio and Video, I studied drums for 3 years. This improvised solo was performed as part of my final exam.

Band

Fil der Protagonist

Band performances and releases with Fil der Protagonist.

04 / Contact

Get in Touch

Interested in collaborating on ML, audio, or music tech projects? Feel free to reach out.