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

Czech title
Síťová, textová analýza a analýza řeči v reálném čase pro boj s organizovaným zločinem
Type
grant
Keywords

Fight against criminality, Fight against trafficking, Speech analytics, Criminal network analysis, Organised crime, Counter-terrorism, Analysis platform, Legal and ethical framework

Abstract

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.

Team members
Černocký Jan, prof. Dr. Ing. (DCGM) – research leader
Szőke Igor, Ing., Ph.D. (DCGM)
Žižka Josef, Ing. (DCGM)
Support

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This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 833635.

Publications

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
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