Criminal investigations require manual intervention of several investigators and translators. However, the amount and the diversity of the data collected raises many challenges, and cross-border investigations against organized crime can quickly impossible to handle. We developed ROXANNE Research platform, an all-in-one platform which processes intercepted phone calls, runs state-of-the-art components such as speaker identification, automatic speech recognition or named entity detection, and builds a knowledge graph of the extracted information. Our aim for this work is to do a first step in the direction of an open research platform combining speech, text, and video processing algorithms with criminal network analysis for combating organized crime.
Cite as: Fabien, M., Parida, S., Motlicek, P., Zhu, D., Krishnan, A., Nguyen, H.H. (2021) ROXANNE Research Platform: Automate Criminal Investigations. Proc. Interspeech 2021, 962-964
@inproceedings{fabien21_interspeech,
author={Maël Fabien and Shantipriya Parida and Petr Motlicek and Dawei Zhu and Aravind Krishnan and Hoang H. Nguyen},
title={{ROXANNE Research Platform: Automate Criminal Investigations}},
year=2021,
booktitle={Proc. Interspeech 2021},
pages={962--964}
}