PolEval 2025 Task 4: Polish Speech Emotion Recognition Challenge

Iwona Christop, Maciej Czajka


Abstract
This paper introduces the Polish Speech Emotion Recognition Challenge, a shared task aimed at advancing research on cross-lingual emotion recognition in low-resource languages. The challenge’s objective was to develop systems that could recognize emotional states in Polish speech using only multilingual training data, with no access to Polish training examples. The final test set consisted of newly recorded Polish speech samples created specifically for the challenge, ensuring a fully blind evaluation. Participants submitted emotion predictions for six target classes. System performance was assessed using the macro-averaged F1 score as the primary metric.
Anthology ID:
2025.poleval-main.11
Volume:
Proceedings of the PolEval 2025 Workshop
Month:
November
Year:
2025
Address:
Warsaw
Editors:
Łukasz Kobyliński, Alina Wróblewska, Maciej Ogrodniczuk
Venues:
PolEval | WS
SIG:
Publisher:
Institute of Computer Science PAS and Association for Computational Linguistics
Note:
Pages:
72–81
Language:
URL:
https://aclanthology.org/2025.poleval-main.11/
DOI:
Bibkey:
Cite (ACL):
Iwona Christop and Maciej Czajka. 2025. PolEval 2025 Task 4: Polish Speech Emotion Recognition Challenge. In Proceedings of the PolEval 2025 Workshop, pages 72–81, Warsaw. Institute of Computer Science PAS and Association for Computational Linguistics.
Cite (Informal):
PolEval 2025 Task 4: Polish Speech Emotion Recognition Challenge (Christop & Czajka, PolEval 2025)
Copy Citation:
PDF:
https://aclanthology.org/2025.poleval-main.11.pdf