Highlights from ROXANNE's first Field Test

last modified 2020-10-23T09:25:42+02:00

On the 30th of September 2020, we successfully conducted the first field test of ROXANNE. This field test was first of a three series Field Test events which will be held during the three-year lifetime of the project spanning from September 2019 to August 2022. This event was attended by more than 90 individuals, bringing together representatives from the law enforcement, technology experts, policymakers, and research community from all over Europe.

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ROXANNE's first field test sheduled for 30th September 2020

last modified 2020-09-08T12:40:07+02:00

ROXANNE’s first field test will take place on 30th of September, where a wide group of end users, namely Law Enforcement Agencies (LEAs), Stakeholder Board members, Ethics Board members as well as DG Home experts, will provide input and feedback on the platform. This field test will focus on Speech and Text Analytics with preliminary Network Analysis. During this test, training activities as well as evaluation sessions will be conducted to ensure a well-rounded assessment for further analysis and development of ROXANNE platform.

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ROXANNE’s clustering with other security projects

last modified 2020-09-07T08:35:08+02:00

As part of an initiative led by Trilateral Research, ROXANNE has joined a cluster of security projects along with CC-DRIVER, COPKIT, DARLENE, INSPECTr, PREVISION, PROTAX, and RAYUELA. The coordinators of these projects are collaborating on shared issues and topics of interest. This allows the projects to help each other in achieving greater impact and knowledge dissemination both within the projects themselves and through their networks.   This cluster also intends for the project partners to invite each other to their events in order to share ideas and results looking forward to future research collaboration. These collaborations will enable the projects to work together and collect different perspectives on tackling common issues in order to collaborate on joint solutions. This collaboration could span research on technical, ethical, legal, and data protection issues, amongst others.

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Consortium Meeting on 24-25 Aug 2020

last modified 2020-09-04T10:59:56+02:00

The ROXANNE consortium meeting held virtually on 24-25 August 2020 and attended by the 24 partners including LEAs and SMEs from 16 countries. The two days consortium meeting started with a short presentation by each of the partners about their contribution to the ROXANNE project in the last 4 months and the plan for the next 6 months. Apart from the technical presentation by each of the work package leaders for their respective packages, project board meeting, the consortium meeting discussed the planning for the upcoming ROXANNE field test event schedule by the on 30th September 2020 (Please email us if you would be interested in attending the same).

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Robust link prediction in criminal networks: A case study of the Sicilian Mafia

last modified 2020-07-16T16:18:33+02:00

Roxanne will include link prediction algorithms to enhance criminal network analysis by law enforcement agencies. A recently published study has explored the robustness of different link prediction strategies across different types of network data.

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Technology to enhance forensic speaker analysis by Garg, Shivam — last modified Dec 23, 2020
Law enforcement agencies investigate criminal networks to find participants, understand their role in the network and, eventually, collect evidence for prosecution. Opportunities to identify criminals often lie in the traces that their communication leaves behind. A cell phone leaves many different traces, but the availability and usability of these modalities may vary. Therefore, it is worthwhile to invest in multiple modalities, increasing the chance of a useful result.
Ethics Oversight in ROXANNE by Garg, Shivam — last modified Nov 20, 2020
Ethics oversight in ROXANNE exists across four levels: the European Commission Ethics Checks; the External Ethics Board; the Internal Ethics Board; ethics-focussed work within the project. Overall, the ROXANNE project is in a positive position in terms of meeting the strict ethical requirements from the Commission. So far, the project is also fulfilling the recommendations generated within the project to ensure compliance with ethical, societal, and legal standards. The strict oversight that the ROXANNE project is subject to ensures that none of these standards are violated in the work of the project. The ROXANNE consortium is committed to ensuring that the ROXANNE project is carried out in a responsible way, and that the technologies developed are used in an ethical and lawful manner.
Link prediction algorithms to enhance criminal network analysis by Garg, Shivam — last modified Oct 29, 2020
Roxanne project will include link prediction algorithms to enhance criminal network analysis by law enforcement agencies. A recent study shows that link prediction can predict links among criminals, although the effectiveness and accuracy of the prediction may be affected by the amount of unknown information and the specific type of relational data under analysis
Ethically developed technologies for safer societies – The ROXANNE project case study by Garg, Shivam — last modified Oct 20, 2020
In order to implement an approach that incorporates ethical and legal concerns in ROXANNE, there are two research focuses that specifically deal with ethical and legal concerns which are led by Trilateral. The first area of focus ensures that the research carried out during the ROXANNE project abides by the standards of research ethics and that data protection legislation is applied to training algorithmic models used in the platform. A second research focus considers the issues which ROXANNE could raise in terms of ethics, societal values, fundamental rights, and applicable law if it is used in real investigations.
Overview of LTEC Voice Databases & ASR System Training by Garg, Shivam — last modified Oct 05, 2020
The main problem in the application of ASR systems in forensics is the accuracy and reliability of the results of such system. The accuracy of identification methods depends on a number of factors that cannot always be assessed. Since it is very difficult to assess the impact of all the factors encountered in forensic speaker examinations, the performance of such systems can best be determined using voice databases developed on the basis of audio recordings submitted for examinations. Despite the variety of created voice databases that attempt to record voices under a variety of conditions, forensic investigations still encounter factors, whose impact on an automated speaker recognition system, is often unknown. ROXANNE BLOG briefly presents characteristics of voice databases - BALSAS_LTv1.1 and BALSAS-200LT of the Forensic Centre of Lithuania (LTEC), also describes ASR VOICE training performance using BALSAS_LTv1.1. In the ROXANNE project, LTEC will use the described voice databases (BALSAS_LT200 and BALSAS_LTv1.1) to assess the recognition accuracy of the existing ASR systems VOICE and BATVOX, as well as the ones developed internally.
Forensic Automatic Speaker Recognition (FASR) : Problems and prospects by Garg, Shivam — last modified Oct 05, 2020
At present speaker identification by voice in forensics, criminalistics and other applications receive a great deal of attention and huge financial resources. In many cases, this is due to the increasing use of sound recording devices, and in particular, the widespread use of mobile technologies in criminal activities and their recordings, and accordingly, the use of various latest trending technologies in the fight against organised crime and international terrorism. In the ROXANNE project, speaker recognition is one of the main and most important elements of the system. However, direct application of automatic speaker recognition (ASR) systems in forensics raises a number of issues. In general, ASR methods work well only under controlled conditions, sufficiently good signal quality and relatively long duration. The main problem in the application of ASR systems in forensics is the accuracy and reliability of the results of such system. This blog briefly describes problems arising using this systems in forensic speaker identification, and prospects of effective using ASR system with traditional auditory-instrumental methods.
Automatic Speech Recognition: Setting, Benefits and Limitations by Garg, Shivam — last modified Aug 28, 2020
Audio is an important modality for criminal investigations. This is true for different kinds of audio and in particular for spoken content. Be it a part of files, streams or posts which are accessible on the web and social media, a recording collected from mobile devices for investigations and interviews, or a conversation recorded via intercepted telephone calls - speech can be encountered in many environments. Audio data by itself, however, presents unstructured information. Without having access to the spoken content, no further analysis and processing is possible. Enter Automatic Speech Recognition (ASR).
Legally compliant state-of-the-art capabilities to fight and prevent transnational crimes by Garg, Shivam — last modified Jul 24, 2020
With the increased reliance on new and rapidly evolving technologies to commit and facilitate crime, law enforcement agencies (LEA) must keep pace with the constant technological developments to stay ahead of criminals and maintain a safe environment. The ROXANNE advanced technical platform aims to enhance the quality of investigative work in tracking and identifying criminals by developing an innovative solution that combines speech, text and video data analysis with the analysis of organized crime networks. To be effective and lawfully implemented, such innovative police technologies must be part of an appropriate legal framework based on the principle of law, fundamental human rights and other applicable legislation ( Often innovative fields, such as data analysis for law enforcement purposes and the use of novel analytical methods, are subject to legal uncertainty due to outdated legal texts or insufficient guidance from legislators, be it domestic or regional)
Forensics Visualizations as a catalyst for fighting organized crime by Garg, Shivam — last modified Jun 30, 2020
Criminals often employ sophisticated technologies in planning and executing their illegal activities, as well as concealing the revenues stemming from them. Suppressing organized crime remains an important but challenging task for Law Enforcement Agencies (LEAs) for several reasons. In this context, visualisation plays a key role in augmenting the human analysis and providing context to the analyst.
ROXANNE platform & network analysis by Garg, Shivam — last modified Jun 19, 2020
Maximizing the speed of investigations is one of the key factors in the presence of dynamically changing and technologically savvy organized criminals. A number of automated network analysis methods were developed in the past that can be borrowed to help investigators to identify key players, paths and relations within the resulting networks in order to analyse the development of the network, find effective strategies toward its destabilisation or disruption and overall to increase investigation effectiveness.
Combination of Speech and Text Technologies with Criminal Network Analysis: Steps Toward First Field-Test Event of ROXANNE Project by Garg, Shivam — last modified May 11, 2020
For law enforcement agencies (LEAs) to keep up in this new environment, they must change their approach to criminal investigations as relying mainly on physical evidence and witness statements is no longer sufficient in many cases. Training in research-based investigative procedures and access to related tools and resources can help law enforcement officers carry out successful investigations. It can help LEAs solve cases more swiftly and even prevent crimes in some cases.
Web based Training (WbT) for the engagement of technology providers and LEAs through EU Funded Projects by Garg, Shivam — last modified Apr 06, 2020
A combination of “synchronous” and “asynchronous” modes can be adopted for WbT instructions. This blog discusses various possibilities around the same.
Artificial Intelligence Adoption in Law enforcement by Garg, Shivam — last modified Feb 21, 2020
The ROXANNE project has a principal objective to enhance the LEAs’ efforts to discover criminal networks and identify their members. It has capitalised on certain aspects of AI technologies. Speech and language technologies (SLTs), visual analysis (VA) and network analysis (NA) will become the basis of ROXANNE platform, which will enhance criminal network analysis capabilities by providing a framework for extracting evidence and actionable intelligence.
A Generic and Flexible Platform for ROXANNE Systems Development by Garg, Shivam — last modified Jan 15, 2020
Airbus has designed its Multi-source and Multi-media analysis solution through the Concept of Generic Architecture which enables the regrouping of multimedia processing software products and presenting them in different possible configurations, based on one common and generic architecture.
Dissemination & Exploitation Aspects of ROXANNE by Garg, Shivam — last modified Jan 06, 2020
This blog discusses various aspects of communication, exploitation and dissemination related to this project.
Analysis of streaming data for security by ITML by Garg, Shivam — last modified Dec 19, 2019
Project kick-off meeting by admin — last modified Nov 13, 2019
The project kick-off meeting was held at Idiap Research Institute, in Martigny Switzerland, on 3-4 September 2019.