  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).
