Hagen Wierstorf
Senior Researcher at audEERING GmbH
Berlin, Germany
Summary
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Senior🎓
Top SchoolHagen Wierstorf is a senior researcher based in Berlin with 13 years of experience applying signal processing and deep learning to audio and speech problems. At audEERING he leads work on reproducible machine learning, speech emotion recognition, spatial audio and perceptual sound quality, bridging academic rigor with product-focused research. His background includes multiple postdoctoral roles and teaching in acoustics and audio-visual design, and he holds a Dr. rer. nat. in acoustics from Technische Universität Berlin. Beyond papers, he maintains software and research artifacts on GitHub and a publications site, reflecting a commitment to open, testable research workflows. Colleagues value his blend of experimental precision and practical DSP know-how that translates complex auditory models into usable systems.
13 years of coding experience
10 years of employment as a software developer
Dipl., Physics, Dipl., Physics at Carl von Ossietzky Universität OldenburgDr. rer. nat., Acoustics, Dr. rer. nat., Acoustics at Technische Universität Berlin
English, German
Github Skills (200)
sphinx-doc10
data-manipulation10
tqdm10
octave10
resample10
pitch10
typesetting10
argparse10
progress-bar10
data-science10
mathematics10
audio-processing10
utilities10
math10
keras10
Programming languages (16)
Github contributions (5)
audeering/audb
Nov 2020 - Mar 2023
Manage audio and video datasets
Contributions:376 reviews, 262 commits, 483 PRs in 2 years 4 months
datastreamingmlopsaudiodatabases
hagenw/listen
Aug 2017 - Mar 2022
Contributions:1 push, 3 branches in 4 years 7 months
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