Raphael Winkelmann
Senior Researcher Software Developer at Ideabay.AI
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolRaphael Winkelmann is a senior research software developer and speech scientist with 13 years of experience building and deploying speech and NLP systems, currently leading development at neolexon and Ideabay.AI from Munich. He combines academic rigor—PhD summa cum laude in Phonetics and Speech Processing—with hands-on engineering across ASR, TTS, ML, DevOps and web services, having maintained and extended the CLARIN-D Bavarian Archive for Speech Signals. Raphael has a strong track record of shipping research-driven production tooling (e.g., EMU-SDMS and PhonLab) and designing secure, cloud-hosted NLP/ASR services. Equally comfortable in low-level speech research and full-stack product delivery, he often bridges linguistic insight and scalable engineering to turn complex phonetic data into usable services. An early maker of voice-enabled prototypes and tools, he brings uncommon domain depth in both phonetics and software architecture to commercial and academic projects.
14 years of coding experience
6 years of employment as a software developer
Ludwig Maximilian University of MunichEinzelhandelskaufmann in Fachrichtung Musikinstrumente und Zubehör (IHK), Einzelhandelskaufmann in Fachrichtung Musikinstrumente und Zubehör (IHK) at Städtische Berufsschule für den Einzelhandel München MünchenDoctor of Philosophy - PhD, Phonetics and Speech Processing, summa cume laude, Doctor of Philosophy - PhD, Phonetics and Speech Processing, summa cume laude at Ludwig-Maximilians-Universität München
Github Skills (18)
r-package10
autocorrelation10
signal-processing10
r10
audio-formats10
speech10
database-management10
service-provider10
metadata9
saml-metadata9
federation7
python5
angular2
webassembly2
praat2
Programming languages (6)
Github contributions (5)
IPS-LMU/wrassp
Jul 2012 - May 2021
wrassp is a wrapper for R around Michel Scheffers's libassp (Advanced Speech Signal Processor). The libassp library aims at providing functionality for handling speech signal files in most common audio formats and for performing analyses common in phonetic science/speech science. This includes the calculation of formants, fundamental frequency, root mean square, auto correlation, a variety of spectral analyses, zero crossing rate, filtering etc. This wrapper provides R with a large subset of libassp's signal processing functions and provides them to the user in a (hopefully) user-friendly manner. The wrassp package is used by the EMU Speech Database Management System (EMU-SDMS) to perform signal processing routines.
Contributions:3 releases, 274 commits, 68 pushes in 9 years
audio-formatsautocorrelationdatabase-managementrsignal-processing
IPS-LMU/emuR
Jul 2014 - Sep 2021
The main R package for the EMU Speech Database Management System (EMU-SDMS)
Contributions:19 releases, 1565 commits, 31 PRs in 7 years 3 months
database-managementrr-packagespeech
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