23 citations · 38 across the 5 of their papers we have counts for
Showing eess.ASShow all
2 papers · 1 filter
eess.AS2022
A Study on the Ambiguity in Human Annotation of German Oral History Interviews for Perceived Emotion Recognition and Sentiment Analysis
Michael Gref, Nike Matthiesen, Sreenivasa Hikkal Venugopala +5
For research in audiovisual interview archives often it is not only of interest what is said but also how. Sentiment analysis and emotion recognition can help capture, categorize a…
eess.AS2020
Multi-Staged Cross-Lingual Acoustic Model Adaption for Robust Speech Recognition in Real-World Applications -- A Case Study on German Oral History Interviews
Michael Gref, Oliver Walter, Christoph Schmidt +2
While recent automatic speech recognition systems achieve remarkable performance when large amounts of adequate, high quality annotated speech data is used for training, the same s…