Unsupervised Personalization of an Emotion Recognition System: The Unique Properties of the Externalization of Valence in Speech. (arXiv:2201.07876v1 [cs.SD])

The prediction of valence from speech is an important, but challenging
problem. The externalization of valence in speech has speaker-dependent cues,
which contribute to performances that are often significantly lower than the
prediction of other emotional attributes such as arousal and dominance. A
practical approach to improve valence prediction from speech is to adapt the
models to the target speakers in the test set. Adapting a speech emotion
recognition (SER) system to a particular speaker is a hard problem, especially …

arxiv emotion personalization speech unsupervised