Manuela Hürlimann

Manuela Hürlimann is a researcher at the Zurich University of Applied Sciences (ZHAW), affiliated with the Centre for Artificial Intelligence (CAI) and the InIT lab. Her work focuses on automatic speech recognition (ASR), Swiss German speech translation, and reproducibility in NLP evaluations.

• University: Zurich University of Applied Sciences
• Academic Rank: Researcher

Her research spans dialect diversity challenges in Swiss German speech translation, error-preserving ASR for language learners, and corpus development for low-resource languages. She contributes to shared tasks like GermEval and VarDial, emphasizing speech technology for accessibility and dialect regions.

Recent publications include the CEASR corpus for ASR evaluation, SDS-200 speech-to-text datasets, and investigations into reproducibility flaws in NLP human evaluations. She also explores ensemble methods for speech translation and social media geolocation studies.

• Scientific Awards
  • First Place in GermEval 2020 Task 4
  • Third Place in SwissText 2021 Shared Task

Hürlimann collaborates extensively with Swiss institutions like FHNW and ZHAW, driving advancements in speech technology through public corpora and standardized methodologies.