Scholar
Timo Baumann
Google Scholar ID: ZV_xxRUAAAAJ
OTH Regensburg
Citations & Impact
Citations
681
H-index
14
i10-index
25
Publications
20
Co-authors
62
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Baumann et al. (2024) paper on narrative quality assessment published.
- Penzkofer & Baumann (2024) paper on RAG tuning for citation quality accepted at KONVENS.
- Schuler et al. (2024) on facial expression analysis of Angela Merkel published at ESSV 2024.
- ICMI 2022 publication on detailed SyncNet analysis for audio-visual translation with students.
- Co-recipient of the “InnovativeLehre@OTH” teaching innovation award with Sebastian Fischer.
- Organized the 35th Elektronische Sprachsignalverarbeitung (ESSV) conference in 2024.
- Authored a popular science article on automatic lip-synching (in German with English translation).
Research Experience
- Professor at OTH Regensburg in AI and NLP.
- Collaborates with ZAS Berlin on narrative quality assessment.
- Mentors student research projects, e.g., DDLitLab on video manipulation and human perception evaluation.
- Works on topics including automatic lip-sync, audio-visual translation, and tuning RAG for citation quality.
- Affiliated with the Regensburg Center for Artificial Intelligence (RCAI).
Background
- Professor in Artificial Intelligence and Natural Language Processing at the Faculty for Informatics and Mathematics, OTH Regensburg.
- Researches spoken language, particularly in interactive and multi-modal scenarios such as spoken dialogue systems.
- Key interest lies in responsiveness in interaction; one of the main pioneers of incremental spoken dialogue systems.
- Creates and utilizes spoken language corpora, including the Spoken Wikipedia Corpus.
- Enjoys tackling difficult problems—works on prosody, prosody of post-modern poetry, and more recently, multi-modal lip-synchronous dubbing.
