Speech emotion recognition from voice messages recorded in the wild

arXiv:2403.02167v1 Announce Type: cross
Abstract: Emotion datasets used for Speech Emotion Recognition (SER) often contain acted or elicited speech, limiting their applicability in real-world scenarios. In this work, we used the Emotional Voice Messages (EMOVOME) database, including spontaneous voice messages from conversations of 100 Spanish speakers on a messaging app, labeled in continuous and discrete emotions by expert and non-expert annotators. We created speaker-independent SER models using the eGeMAPS features, transformer-based models and their combination. We compared the results with …

abstract app arxiv conversations cs.ai cs.cl cs.sd database datasets eess.as emotion messages messaging recognition spanish speakers speech speech emotion type voice work world