Fabien, MaelParida, ShantipriyaMotlicek, PetrZhu, DaweiKrishnan, AravindNguyen, Hoang H.2022-09-262022-09-262022-09-262021-01-01https://infoscience.epfl.ch/handle/20.500.14299/191024WOS:000841879501014Criminal 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.criminal investigationsplatformspeaker identificationspeech recognitiontext::conference output::conference proceedings::conference paper