Development of a speech emotion recognizer for large-scale child-centered audio recordings from a hospital environment

Einari Vaaras, Sari Ahlqvist-Björkroth, Konstantinos Drossos, Liisa Lehtonen, Okko Räsänen

Abstract: Highlights•Speech emotion recognition for real-life child-centered audio recordings.•Comparison of cross-corpus generalization, active learning, and domain adaptation.•The studied active learning method provided the most consistent results.•Using annotated data, active learning excelled.•Without annotated data, unsupervised domain adaptation excelled.