ROXANNE Research Platform
Automate criminal investigations
- authored by
- Maël Fabien, Shantipriya Parida, Petr Motlicek, Dawei Zhu, Aravind Krishnan, Hoang H. Nguyen
- Abstract
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.
- Organisation(s)
-
L3S Research Centre
- External Organisation(s)
-
IDIAP Research Institute
École polytechnique fédérale de Lausanne (EPFL)
Saarland University
- Type
- Conference contribution
- Pages
- 2156-2158
- No. of pages
- 3
- Publication date
- 2021
- Publication status
- Published
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- Language and Linguistics, Human-Computer Interaction, Signal Processing, Software, Modelling and Simulation
- Sustainable Development Goals
- SDG 16 - Peace, Justice and Strong Institutions
- Electronic version(s)
-
https://www.isca-speech.org/archive/interspeech_2021/fabien21_interspeech.html (Access:
Open)
