Project Details
Real time network, text, and speaker analytics for combating organized crime
Project Period: 1. 5. 2019 – 30. 4. 2022
Project Type: grant
Code: 833635
Agency: Evropská unie
Program: Horizon 2020
Fight against criminality, Fight against trafficking, Speech analytics, Criminal
network analysis, Organised crime, Counter-terrorism, Analysis platform, Legal
and ethical framework
Discovering criminal networks and identifying their members is one of the primary
aspects of LEAs' mission. ROXANNE will contribute towards this goal by bridging
the strengths of speech and language technologies (SLTs), visual analysis (VA)
and network analysis (NA). If funded, ROXANNE will achieve a significant increase
in the speed of investigation processes and an improvement in identification of
individuals by means of speech, in the scope of criminal cases where large
amounts of lawfully intercepted communications (with multilingual attributes) are
analysed. The technical development will be centred around the ROXANNE platform,
which will enhance criminal network analysis capabilities by providing
a framework for extracting evidence and actionable intelligence based on speech,
language and video technologies. The intention is not to replace humans but
automate time-consuming tasks, and support LEA decisionmaking. Its early version
will offer preliminary SLT, VA and NA capabilities to collect end-user feedback.
The final version will provide multilingual, probabilistic tools interfacing SLT
and NA technologies, boosted by natural language processing (NLP) and relation
analysis in the synoptic criminal activity graph. ROXANNE will achieve full
compliance with relevant INTERPOL and EU legal and ethical frameworks, including
innovative approaches to data protection management such as privacy by design.
Special efforts will be expended to ensure ROXANNE outcomes achieve widespread
adoption by law enforcement. The effort will be enhanced through a series of
education and awareness campaigns and the direct involvement of LEAs from nine
European countries, that will test our solutions on real case data. In addition,
ROXANNE partner INTERPOL and EUROPOL (member of the External Advisory Board) will
provide advice and guidance. The consortium has 24 partners with complementary
skills, including leaders in key technology areas impacting criminal
investigations.
Szőke Igor, Ing., Ph.D. (DCGM)
Žižka Josef, Ing. (DCGM)
2023
- NIGMATULINA, I.; MADIKERI, S.; VILLATORO-TELLO, E.; MOTLÍČEK, P.; ZULUAGA-GOMEZ, J.; PANDIA, K.; GANAPATHIRAJU, A. Implementing contextual biasing in GPU decoder for online ASR. In Proceedings of the Annual Conference of International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Dublin: International Speech Communication Association, 2023.
p. 4494-4498. ISSN: 1990-9772. Detail - SKOWRON, M.; BACKFRIED, G.; NAVAS, E.; BERZINŠ, A.; VAN, J.; DE, F.; DEMARCO, A.; POLÁK, P.; KOVÁČ, M.; POLÁK, P.; ROHDIN, J.; ROSNER, M.; SANCHEZ, J.; SARATXAGA, I.; SCHWARZ, P. Deep Dive Speech Technology. In European Language Equality. Cham: Springer Nature Switzerland AG, 2023.
p. 289-312. ISBN: 978-3-031-28819-7. Detail
2022
- ALAM, J.; BURGET, L.; GLEMBEK, O.; MATĚJKA, P.; MOŠNER, L.; PLCHOT, O.; ROHDIN, J.; SILNOVA, A.; STAFYLAKIS, T. Development of ABC systems for the 2021 edition of NIST Speaker Recognition evaluation. Proceedings of The Speaker and Language Recognition Workshop (Odyssey 2022). Beijing: International Speech Communication Association, 2022.
p. 346-353. Detail - LANDINI, F.; PROFANT, J.; DIEZ SÁNCHEZ, M.; BURGET, L. Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks. COMPUTER SPEECH AND LANGUAGE, 2022, vol. 71, no. 101254,
p. 1-16. ISSN: 0885-2308. Detail - SILNOVA, A.; STAFYLAKIS, T.; MOŠNER, L.; PLCHOT, O.; ROHDIN, J.; MATĚJKA, P.; BURGET, L.; GLEMBEK, O.; BRUMMER, J. Analyzing speaker verification embedding extractors and back-ends under language and channel mismatch. Proceedings of The Speaker and Language Recognition Workshop (Odyssey 2022). Beijing: International Speech Communication Association, 2022.
p. 9-16. Detail - SOLEWICZ, Y.; COHEN, N.; ROHDIN, J.; MADIKERI, S.; ČERNOCKÝ, J. Speaker recognition on mono-channel telephony recordings. Proceedings of Odyssey 2022. Beijing: International Speech Communication Association, 2022.
p. 193-199. Detail - STAFYLAKIS, T.; MOŠNER, L.; PLCHOT, O.; ROHDIN, J.; SILNOVA, A.; BURGET, L.; ČERNOCKÝ, J. Training Speaker Embedding Extractors Using Multi-Speaker Audio with Unknown Speaker Boundaries. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Incheon: International Speech Communication Association, 2022.
p. 605-609. ISSN: 1990-9772. Detail
2021
- KARAFIÁT, M.; VESELÝ, K.; ČERNOCKÝ, J.; PROFANT, J.; NYTRA, J.; HLAVÁČEK, M.; PAVLÍČEK, T. Analysis of X-Vectors for Low-Resource Speech Recognition. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Toronto, Ontario: IEEE Signal Processing Society, 2021.
p. 6998-7002. ISBN: 978-1-7281-7605-5. Detail - LANDINI, F.; GLEMBEK, O.; MATĚJKA, P.; ROHDIN, J.; BURGET, L.; DIEZ SÁNCHEZ, M.; SILNOVA, A. Analysis of the BUT Diarization System for Voxconverse Challenge. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Toronto, Ontario: IEEE Signal Processing Society, 2021.
p. 5819-5823. ISBN: 978-1-7281-7605-5. Detail - LANDINI, F.; LOZANO DÍEZ, A.; BURGET, L.; DIEZ SÁNCHEZ, M.; SILNOVA, A.; ŽMOLÍKOVÁ, K.; GLEMBEK, O.; MATĚJKA, P.; STAFYLAKIS, T.; BRUMMER, J. BUT System Description for The Third DIHARD Speech Diarization Challenge. Proceedings available at Dihard Challenge Github. on-line by LDC and University of Pennsylvania: 2021.
p. 1-5. Detail - STAFYLAKIS, T.; ROHDIN, J.; BURGET, L. Speaker embeddings by modeling channel-wise correlations. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Brno: International Speech Communication Association, 2021.
p. 501-505. ISSN: 1990-9772. Detail
2020
- ALAM, J.; BOULIANNE, G.; BURGET, L.; DAHMANE, M.; DIEZ SÁNCHEZ, M.; GLEMBEK, O.; LALONDE, M.; LOZANO DÍEZ, A.; MATĚJKA, P.; MIZERA, P.; MOŠNER, L.; NOISEUX, C.; MONTEIRO, J.; NOVOTNÝ, O.; PLCHOT, O.; ROHDIN, J.; SILNOVA, A.; SLAVÍČEK, J.; STAFYLAKIS, T.; ST-CHARLES, P.; WANG, S.; ZEINALI, H. Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge. In Proceedings of Odyssey 2020 The Speaker and Language Recognition Workshop. Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland. Tokyo: International Speech Communication Association, 2020.
p. 289-295. ISSN: 2312-2846. Detail - LOZANO DÍEZ, A.; SILNOVA, A.; PULUGUNDLA, B.; ROHDIN, J.; VESELÝ, K.; BURGET, L.; PLCHOT, O.; GLEMBEK, O.; NOVOTNÝ, O.; MATĚJKA, P. BUT Text-Dependent Speaker Verification System for SdSV Challenge 2020. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Shanghai: International Speech Communication Association, 2020.
p. 761-765. ISSN: 1990-9772. Detail - MOŠNER, L.; PLCHOT, O.; ROHDIN, J.; ČERNOCKÝ, J. Utilizing VOiCES dataset for multichannel speaker verification with beamforming. Proceedings of Odyssey 2020 The Speaker and Language Recognition Workshop. Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland. Tokyo: International Speech Communication Association, 2020.
p. 187-193. ISSN: 2312-2846. Detail - SILNOVA, A.; BRUMMER, J.; ROHDIN, J.; STAFYLAKIS, T.; BURGET, L. Probabilistic embeddings for speaker diarization. Proceedings of Odyssey 2020 The Speaker and Language Recognition Workshop. Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland. Tokyo: International Speech Communication Association, 2020.
p. 24-31. ISSN: 2312-2846. Detail