nEMO: Dataset of Emotional Speech in Polish
Iwona Christop
Speech emotion recognition has become increasingly important in recent years
due to its potential applications in healthcare, customer service, and
personalization of dialogue systems. However, a major issue in this field is
the lack of datasets that adequately represent basic emotional states across
various language families. As datasets covering Slavic languages are rare,
there is a need to address this research gap. This paper presents the
development of nEMO, a novel corpus of emotional speech in Polish. The dataset
comprises over 3 hours of samples recorded with the participation of nine
actors portraying six emotional states: anger, fear, happiness, sadness,
surprise, and a neutral state. The text material used was carefully selected to
represent the phonetics of the Polish language adequately. The corpus is freely
available under the terms of a Creative Commons license (CC BY-NC-SA 4.0).