ISCA Archive Interspeech 2021
ISCA Archive Interspeech 2021

ROXANNE Research Platform: Automate Criminal Investigations

Maël Fabien, Shantipriya Parida, Petr Motlicek, Dawei Zhu, Aravind Krishnan, Hoang H. Nguyen

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}
}