348 citations · 384 across the 8 of their papers we have counts for
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eess.AS2023★ 1 cited
Testing Correctness, Fairness, and Robustness of Speech Emotion Recognition Models
Anna Derington, Hagen Wierstorf, Ali Özkil +3
Machine learning models for speech emotion recognition (SER) can be trained for different tasks and are usually evaluated based on a few available datasets per task. Tasks could in…
eess.AS2023★ 1 cited
audb -- Sharing and Versioning of Audio and Annotation Data in Python
Hagen Wierstorf, Johannes Wagner, Florian Eyben +2
Driven by the need for larger and more diverse datasets to pre-train and fine-tune increasingly complex machine learning models, the number of datasets is rapidly growing. audb is…