Timo Baumann
Professor In Artificial Intelligence Specializing In Natural Language Processing
Regensburg, Bavaria, Germany
Summary
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Senior🎓
Top SchoolTimo Baumann is a Professor of Artificial Intelligence specializing in Natural Language Processing with over a decade of research and teaching experience across German universities and a stint at Carnegie Mellon’s Language Technologies Institute. He holds a PhD in Computational Linguistics and blends deep academic scholarship with practical system-building, particularly in speech and dialogue technologies. His work spans machine learning for language, spoken interaction, and TTS engineering—he has contributed backend optimizations to the well-known open-source MARY TTS project, improving HTS model integration and synthesis efficiency. Based in Regensburg, he maintains active collaborations (including roles at Universität Hamburg) and a track record of moving novel language-tech research into working systems. Colleagues value him for bridging rigorous theory and clean, performance-oriented code in production-grade speech platforms.
12 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Linguistics, Doctor of Philosophy (PhD), Computational Linguistics at Universität BielefeldDiplom, Informatik, Diplom, Informatik at Universität Hamburg
English, German, French, Spanish
Github Skills (9)
javas10
gtts10
freetts10
text-to-speech10
speech-synthesis10
java10
algorithm9
data-structures9
algorithms9
Programming languages (3)
Github contributions (5)
marytts/marytts
Jul 2014 - Mar 2015
MARY TTS -- an open-source, multilingual text-to-speech synthesis system written in pure java
Role in this project:
Back-end Developer
Back-end DeveloperContributions:32 commits, 5 PRs, 21 comments in 8 months
Contributions summary:Timo primarily focused on code cleanup and optimizations within the `marytts/marytts` repository, specifically within the `htsengine` and `cart` packages. Their contributions included refactoring code related to duration errors and HTS model integration within the `CartTreeSet` class, enhancing the efficiency of the text-to-speech synthesis system. The changes involve modifying the core components of the MARY TTS system to ensure its correct function.
pure-javaspeech-to-textsynthesisspeech-recognitionspeech-synthesis
dialogos-project/dialogos-distribution
Apr 2018 - Nov 2024
Contributions:17 pushes, 4 branches, 3 tags in 6 years 8 months
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