Anomalous Event Detection in Traffic Audio

Minakshee Shukla, Renu M. Rameshan, Shikha Gupta

2025

Abstract

This work focuses on detecting anomalous sound events from traffic audio. The audio used is recorded from the microphone associated with a surveillance camera. We have defined six anomaly classes and generated synthetic data using real background audio which corresponds to Indian traffic sound obtained from a surveillance camera microphone. Using a teacher-student training strategy, we have obtained F1 score of 96.12% and an error rate 0.06. We also show that even when the event occurs farther away from the microphone, the performance is still impressive, with an F1 score of 92.55 and an error rate of 0.12.

Paper Citation

in Harvard Style

Shukla M., Rameshan R. and Gupta S. (2025). Anomalous Event Detection in Traffic Audio. In Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-730-6, SciTePress, pages 613-619. DOI: 10.5220/0013152100003905

in Bibtex Style

@conference{icpram25,
author={Minakshee Shukla and Renu Rameshan and Shikha Gupta},
title={Anomalous Event Detection in Traffic Audio},
booktitle={Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2025},
pages={613-619},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013152100003905},
isbn={978-989-758-730-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - Anomalous Event Detection in Traffic Audio
SN - 978-989-758-730-6
AU - Shukla M.
AU - Rameshan R.
AU - Gupta S.
PY - 2025
SP - 613
EP - 619
DO - 10.5220/0013152100003905
PB - SciTePress