ROXANNE Research Platform

Automate criminal investigations

verfasst von

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.

Organisationseinheit(en)

Forschungszentrum L3S

Externe Organisation(en)

IDIAP Research Institute
École polytechnique fédérale de Lausanne (EPFL)
Universität des Saarlandes

Typ

Aufsatz in Konferenzband

Seiten

2156-2158

Anzahl der Seiten

3

Publikationsdatum

2021

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Sprache und Linguistik, Mensch-Maschine-Interaktion, Signalverarbeitung, Software, Modellierung und Simulation

Ziele für nachhaltige Entwicklung

SDG 16 – Frieden, Gerechtigkeit und starke Institutionen

Elektronische Version(en)

https://www.isca-speech.org/archive/interspeech_2021/fabien21_interspeech.html (Zugang: Offen)