# nEMO: Dataset of Emotional Speech in Polish

arXiv: https://arxiv.org/abs/2404.06292 · HTML: https://mlsanity.com/paper/2404.06292/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 8 references that are in the map.
- First posted on arXiv 9 Apr 2024.

## Builds on (most cited first, 1 of 1)

- [Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages](https://mlsanity.com/paper/1812.10411/) (2018)

## Built on by (most cited first, 3 of 3)

- [VoxEmo: Benchmarking Speech Emotion Recognition with Speech LLMs](https://mlsanity.com/paper/2603.08936/) (2026)
- [CAMEO: Collection of Multilingual Emotional Speech Corpora](https://mlsanity.com/paper/2505.11051/) (2025)
- [Multilingual Emotion Neurons in Large Audio-Language Models](https://mlsanity.com/paper/2608.08772/) (2026)

## Abstract (arXiv)

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).