Uwe Reichel
Scholar

Uwe Reichel

Google Scholar ID: QmfnkTEAAAAJ
audEERING GmbH
speech sciencemachine learningvocal biomarkersnatural language processing
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Citations & Impact
All-time
Citations
1,236
 
H-index
14
 
i10-index
17
 
Publications
20
 
Co-authors
0
 
Publications
1 items
Speech-Based Depressive Mood Detection in the Presence of Multiple Sclerosis: A Cross-Corpus and Cross-Lingual Study
2025
Cited
0
Resume
Research Experience
  • Currently works as a senior AI researcher at audEERING GmbH and the Hungarian Research Centre for Linguistics.
Education
  • Ph.D. in computational intonation modelling obtained in 2010 from the Institute of Phonetics and Speech Processing, University of Munich.
Background
  • Research interests include speech and linguistic feature engineering, and machine learning for clinical and general speaker traits and states assessment.