Oliver Walter

Research Engineer And Team Lead at Fraunhofer IAIS

Sankt Augustin, North Rhine-Westphalia, Germany
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Summary

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Senior
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Top School
Oliver Walter is a research engineer and team lead with a decade of focused experience in real-time speech recognition, speech dialogue systems, and unsupervised learning from untranscribed audio. At Fraunhofer IAIS he leads applied research to bring statistical signal-processing and unsupervised acoustic and language modeling into production-capable speech assistants. His background includes a PhD-era research track at University of Paderborn, a WebRTC engineering internship at Google, and a visiting researcher stint at CMU, reflecting a blend of rigorous academic foundations and practical systems experience. Oliver is particularly invested in unsupervised pattern discovery and segmentation of sequential data—skills that enable building speech systems that learn from raw audio rather than costly annotations. Based in Sankt Augustin, Germany, he combines strong electrical engineering roots with hands-on ML engineering to bridge algorithm research and deployable real-time solutions.
code11 years of coding experience
job10 years of employment as a software developer
bookStudy Abroad Program, Electrical Engineering, GPA: 6.8, Study Abroad Program, Electrical Engineering, GPA: 6.8 at QUT (Queensland University of Technology)
bookDiplom-Ingenieur (Dipl.-Ing.), Elektrotechnik und Informationstechnik, 1.5 (sehr gut), Diplom-Ingenieur (Dipl.-Ing.), Elektrotechnik und Informationstechnik, 1.5 (sehr gut) at Universität Paderborn
languagesGerman, English
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Github Skills (56)

speech-processing10
toolbox10
audio10
speech10
speech-to-text9
shell8
cuda8
kaldi8
word-segmentation8
bots8
speaker-verification8
nlu7
conda7
asr7
natural-language-processing7

Programming languages (4)

ShellC++GoPython

Github contributions (5)

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fgnt/nhpylm

May 2016 - Nov 2016

Contributions:6 commits, 9 pushes, 3 branches in 6 months
fgnt/LatticeWordSegmentation

Feb 2016 - Nov 2016

Software to apply unsupervised word segmentation on lattices or text sequences using a nested hierarchical Pitman Yor language model
Contributions:7 commits, 1 PR, 5 pushes in 9 months
language-modelword-segmentation
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