This paper introduces the task description for the Detection and Classification of Acoustic Scenes and Events (DCASE) 2025 Challenge Task 2, titled "First-shot unsupervised anomalous sound detection (ASD) for machine condition monitoring." Building on the DCASE 2024 Challenge Task 2, this task is structured as a first-shot problem within a domain generalization framework. The primary objective of the first-shot approach is to facilitate the rapid deployment of ASD systems for new machine types without requiring machine-specific hyperparameter tunings. For DCASE 2025 Challenge Task 2, sounds from previously unseen machine types have been collected and provided as the evaluation dataset. Results and analysis of the challenge submissions will be added following the challenge's submission deadline.
View on arXiv@article{nishida2025_2506.10097,
title={ Description and Discussion on DCASE 2025 Challenge Task 2: First-shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring },
author={ Tomoya Nishida and Noboru Harada and Daisuke Niizumi and Davide Albertini and Roberto Sannino and Simone Pradolini and Filippo Augusti and Keisuke Imoto and Kota Dohi and Harsh Purohit and Takashi Endo and Yohei Kawaguchi },
journal={arXiv preprint arXiv:2506.10097},
year={ 2025 }
}