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CORDIS

Real time network, text, and speaker analytics for combating organized crime

Risultati finali

Preliminary report on network analysis

Initial report and system on NA.

Description of ROXANNE platform V1, data export

Description of ROXANNE platform V1, data export and exchange: The first release of the integrated system. Report describes the scope of the prototype and details the functionalities.

Systematic comparison of criminal networks

Report on results of the systematic assessment of T6.7. The added value to existing NA solutions from the relational information will be evaluated.

Initial speech/text/video technologies

A set of software and associated report for rapid deployment of speech, NLP and video technologies for early integration and system testing.

Interaction of speech/text/video and network analysis

Report summarizing development of speech, NLP and video technologies influenced by and adapted to network analysis.

Description of the integration toolkit, guidelines, plan

Preliminary ROXANNE integration platform for 1st field-test developed. Technical description of the tools to be developed to ease the integration of the different components. A set of guidelines described.

Simulated data for development and demonstration

Data for SLT/NLP/VA and NA in simulated environments, as close as possible to real LEA scenarios. Data and associated report delivered.

Data visualization V2, ROXANNE platform V2

Data visualisation and exploratory analysis toolkit V2, ROXANNE platform V2: Second and final update on D7.3 and D7.4 deliverables.

Data visualization and exploratory analysis V1

Data visualisation and exploratory analysis toolkit V1: Functional and non-functional design specifications of data visualisation in the platform. It will detail the mechanisms and the tools.

Final set of speech/text/video technologies

Final set of ROXANNE speech/NLP/video technologies for network analysis: Set of software (and associated report) with final technologies integrated into production-grade network analysis.

Technical specifications and detailed architecture

Technical specifications and detailed architecture report: Technical specifications and the design architecture of the platform and integration framework given the requirements.

The project's dissemination and exploitation plan update M40

Updated version at M40 of the projects dissemination and exploitation plan This M40 version will be prepared for those partners exploiting the project results and for stakeholders using the results after EU funding ends

Report on the dissemination, exploitation

Report on the dissemination exploitation and communications activities Collection of various products and services created by the consortium and report on their impact use by stakeholders Report on the website activity and the number of contacts exploitation of the results T95

The project's dissemination and exploitation plan update M20

Updated version at M20 of the projects dissemination and exploitation plan

Final report on the dissemination, exploitation

Final report on the dissemination exploitation and communications activities Final version on dissemination exploitation and communications products and services based on D95

Training manual Volume III

Update at M40 of the development of the online dynamic manual regarding the integrated solution accessed by all endusers

Internal progress and quality planning report Y2

Progress report Y2

Final report on ROXANNE data

Report providing final account on the use of all sources of data investigation public standard RD simulated including information on data for the field tests

The project's communications plan update M18

Updated version at M18 of the project's communications plan.

The project's dissemination and exploitation plan

Interim version at M5, with updated versions at M18 and M36. The M36 version will be prepared for those partners exploiting the project results and for stakeholders using the results after EU funding ends.

Report on the project's final conference

Report on the final conference

Overview and analysis of lawfully intercepted data

Overview and analysis of lawfully intercepted and publicly available data: Report providing initial overview of investigation and public data available for ROXANNE (+legal framework).

Final report on compliance with ethical principles

Update of D31 report

INTERPOL global communications infrastructure

Using INTERPOL global communications infrastructure and data storage Report on the use of INTERPOL for the exchange among LEAs of digital evidence

Risk Assessment

Risk assessment of the whole project.

Initial report on compliance with ethical principles

Initial report (checklist brochure) on compliance with ethical/societal/fundamental/privacy principles: Summary of initial results of T3.1-T3.4. Security advisory board introduced, update M36 in D3.4.

Training manual Volume II

Update at M22 of the development of the online dynamic manual regarding the integrated solution accessed by all endusers

The project's communications plan update M40

Updated version at M40 of the projects communications plan

The project's communications plan

Interim version of this plan at M4, with updated versions at M18 and M36.

Development of a decision-making-mechanism

Development of a decision-making-mechanism for ensuring compliance: Report on how to set up and operate the mechanism, with a list of questions that can be used.

Analysis of criminal networks

Report of T62T66 on cross network analysis description of the developed methods initial evaluation and testing results

Training manual Volume I

Development of the online dynamic manual, regarding the integrated solution accessed by all end-users (updated at M19, M29).

ROXANNE's recommendations

Report on recommendations

Internal progress and quality planning report Y1

Progress report Y1.

Final progress report

Final report

ROXANNE case management and data preprocessing

Report on data preprocessing policies and the ROXANNE case management system for data management and decomposition

Creation of the project's identity and website

Creation of the project’s identity, website and online accounts: to communicate, inform, create dialogue and promote use of the project results. It includes the project’s online accounts.

Pubblicazioni

German News Article Classification : A Multichannel CNN Approach

Autori: Parida, Shantipriya; Motlicek, Petr; Dash, Satya Ranjan
Pubblicato in: Proceeding 2nd International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy (ETAEERE-2020), 2020
Editore: Springer

Development of ABC Systems for the 2021 Edition of NIST Speaker Recognition Evaluation

Autori: Jahangir Alam, Radek Beneš, Marián Beszédeš, Lukáš Burget, Mohamed Dahmane, Abderrahim Fathan, Hamed Ghodrati, Ondřej Glembek, Woo Hyun Kang, Pavel Matĕjka, Ladislav Mošner, Oldřich Plchot, Johan Rohdin, Anna Silnova, Themos Stafylakis
Pubblicato in: Proc. The Speaker and Language Recognition Workshop (Odyssey 2022), 2022, Pagina/e 346-353
Editore: Odyssey 2022
DOI: 10.21437/odyssey.2022-48

Training Speaker Embedding Extractors Using Multi-Speaker Audio with Unknown Speaker Boundaries

Autori: Themos Stafylakis, Ladislav Mosner, Oldrich Plchot, Johan Rohdin, Anna Silnova, Lukas Burget, Jan “Honza” Cernocky
Pubblicato in: Proceedings Interspeech 2022, 2022
Editore: ISCA 2022
DOI: 10.21437/interspeech.2022-10165

Open Machine Translation for Low Resource South American Languages (AmericasNLP 2021 Shared Task Contribution)

Autori: Shantipriya Parida, Subhadarshi Panda, Amulya Dash, Esau Villatoro-Tello, A. Seza Doğruöz, Rosa M. Ortega-Mendoza, Amadeo Hernández, Yashvardhan Sharma, Petr Motlicek
Pubblicato in: Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas, 2021
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.americasnlp-1.24

Meta Self-Refinement for Robust Learning with Weak Supervision

Autori: Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow
Pubblicato in: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023, Pagina/e 1043–1058
Editore: Association for Computational Linguistics

ODIANLP’s Participation in WAT2020

Autori: Shantipriya Parida, Petr Motlicek, Amulya Ratna Dash, Satya Ranjan Dash, Debasish Kumar Mallick, Satya Prakash Biswal, Priyanka Pattnaik, Biranchi Narayan Nayak, Ondřej Bojar
Pubblicato in: Proceedings of the 7th Workshop on Asian Translation, 2020, Pagina/e 103–108
Editore: Association for Computational Linguistics

BUT Text-Dependent Speaker Verification System for SdSV Challenge 2020

Autori: Alicia Lozano-Diez, Anna Silnova, Bhargav Pulugundla, Johan Rohdin, Karel Veselý, Lukáš Burget, Oldřich Plchot, Ondřej Glembek, Ondvrej Novotný, Pavel Matějka
Pubblicato in: Interspeech 2020, 2020, Pagina/e 761-765
Editore: ISCA
DOI: 10.21437/interspeech.2020-2882

Idiap NMT System for WAT 2019 Multi-Modal Translation Task

Autori: Shantipriya Parida, Petr Motlíček, Ondřej Bojar
Pubblicato in: Proceedings of the 6th Workshop on Asian Translation, 2019, Pagina/e 175-180
Editore: Association for Computational Linguistics

Analysis of the but Diarization System for Voxconverse Challenge

Autori: Federico Landini; Ondrej Glembek; Pavel Matejka; Johan Rohdin; Lukas Burget; Mireia Diez; Anna Silnova
Pubblicato in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Numero 7, 2021, ISBN 978-1-7281-7605-5
Editore: IEEE
DOI: 10.1109/icassp39728.2021.9414315

Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages

Autori: Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow
Pubblicato in: ICLR 2022 AfricaNLP 2022: NLP for African languages, 2022
Editore: ICLR2022

Analysis of X-Vectors for Low-Resource Speech Recognition

Autori: Martin Karafiat, Karel Vesely, Jan “Honza” Cernocky, Jan Profant, Jiri Nytra, Miroslav Hlavacek, and Tomas Pavlicek
Pubblicato in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Editore: IEEE
DOI: 10.1109/icassp39728.2021.9414725

Implementing contextual biasing in GPU decoder for online ASR

Autori: Iuliia, Nigmatulina; Madikeri, Srikanth; VILLATORO-TELLO, Esaú; Motlicek, Petr; Juan, Zuluaga-Gomez; S, Karthik Pandia D; Ganapathiraju, Aravind
Pubblicato in: Proc. Interspeech 2023, 2023
Editore: Interspeech 2023

CommonAccent: Exploring Large Acoustic Pretrained Models for Accent Classification Based on Common Voice

Autori: Juan Zuluaga-Gomez, Sara Ahmed, Danielius Visockas, Cem Subakan
Pubblicato in: Proc. Interspeech 2023, 2023
Editore: Interspeech 2023
DOI: 10.48550/arxiv.2305.18283

Detection of Similar Languages and Dialects Using Deep Supervised Autoencoders

Autori: Shantipriya Parida; Esau Villatoro-Tello; Sajit Kumar; Mael Fabien; Petr Motlicek
Pubblicato in: Proceedings of the 17th International Conference on Natural Language Processing, 2020
Editore: ICON2020

Utilizing VOiCES Dataset for Multichannel Speaker Verification with Beamforming

Autori: Ladislav Mošner, Oldřich Plchot, Johan Rohdin, Jan Černocký
Pubblicato in: Odyssey 2020 The Speaker and Language Recognition Workshop, 2020, Pagina/e 187-193
Editore: ISCA
DOI: 10.21437/odyssey.2020-27

Analysing the Noise Model Error for Realistic Noisy Label Data

Autori: Hedderich, Michael A.; Zhu, Dawei; Klakow, Dietrich
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero Vol. 35 No. 9: AAAI-21 Technical Tracks 9, 2021, Pagina/e 7675-7684, ISSN 2374-3468
Editore: AAAI Press
DOI: 10.48550/arxiv.2101.09763

Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression

Autori: Fech Scen Khoo, Dawei Zhu, Michael A. Hedderich , Dietrich Klakow
Pubblicato in: ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2021
Editore: i6doc.com
DOI: 10.14428/esann/2021.es2021-65

Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge

Autori: Jahangir Alam, Gilles Boulianne, Lukas Burget, Mohamed Dahmane, Mireia Diez Sánchez, Alicia Lozano-Diez, Ondrej Glembek, Pierre-Luc St-Charles, Marc Lalonde, Pavel Matejka, Petr Mizera, Joao Monteiro, Ladislav Mosner, Cedric Noiseux, Ondřej Novotný, Oldrich Plchot, Johan Rohdin, Anna Silnova, Josef Slavicek, Themos Stafylakis, Shuai Wang, Hossein Zeinali
Pubblicato in: Odyssey 2020 The Speaker and Language Recognition Workshop, 2020, Pagina/e 289-295
Editore: ISCA
DOI: 10.21437/odyssey.2020-41

Probabilistic Embeddings for Speaker Diarization

Autori: Anna Silnova, Niko Brummer, Johan Rohdin, Themos Stafylakis, Lukas Burget
Pubblicato in: Odyssey 2020 The Speaker and Language Recognition Workshop, 2020, Pagina/e 24-31
Editore: ISCA
DOI: 10.21437/odyssey.2020-4

SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data

Autori: Nguyen, Hoang H. and Bozhkov, Dmytro and Ahmadi, Zahra and Nguyen, Nhat-Minh and Doan, Thanh-Nam
Pubblicato in: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Numero SIGIR '22, 2022, Pagina/e 3036-3045, ISBN 978-1-4503-8732-3
Editore: 2022 Association for Computing Machinery
DOI: 10.1145/3477495.3531735

NLPHut’s Participation at WAT2021

Autori: Shantipriya Parida, Subhadarshi Panda, Ketan Kotwal, Amulya Ratna Dash, Satya Ranjan Dash, Yashvardhan Sharma, Petr Motlicek, Ondřej Bojar
Pubblicato in: Proceedings of the 8th Workshop on Asian Translation (WAT2021), 2021, Pagina/e 146–154
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.wat-1.16

Multimodal Neural Machine Translation System for English to Bengali

Autori: Shantipriya Parida, Subhadarshi Panda, Satya Prakash Biswal, Ketan Kotwal, Arghyadeep Sen, Satya Ranjan Dash, Petr Motlicek
Pubblicato in: Proceedings of the First Workshop on Multimodal Machine Translation for Low Resource Languages (MMTLRL 2021),, Numero in conjuction with RANLP-2021, 2021, Pagina/e 31-39
Editore: INCOMA Ltd.
DOI: 10.26615/978-954-452-073-1_006

TOKEN Is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models

Autori: Ali Davody, David Ifeoluwa Adelani, Thomas Kleinbauer, Dietrich Klakow
Pubblicato in: 25th International Conference on Text, Speech and Dialogue (TSD 2022), 2022, Pagina/e 138–150, ISBN 978-3-031-16270-1
Editore: Springer, Cham
DOI: 10.1007/978-3-031-16270-1_12

Analyzing speaker verification embedding extractors and back-ends underlanguage and channel mismatch

Autori: Anna Silnova, Themos Stafylakis, Ladislav Mosner, Oldrich Plchot, Johan Rohdin, Pavel Matejka, Lukas Burget, Ondrej Glembek, Niko Brummer
Pubblicato in: The Speaker and Language Recognition Workshop (Odyssey 2022), 2022, Pagina/e 9-16
Editore: Odyssey
DOI: 10.21437/odyssey.2022-2

OdiEnCorp 2.0: Odia-English Parallel Corpus for Machine Translation

Autori: Shantipriya Parida, Satya Ranjan Dash, Ondřej Bojar, Petr Motlicek, Priyanka Pattnaik, Debasish Kumar Mallick
Pubblicato in: Proceedings of the WILDRE5– 5th Workshop on Indian Language Data: Resources and Evaluation, 2020
Editore: European Language Resources Association (ELRA)

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation

Autori: David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende, Ernie Chang, Tajuddeen Gwadabe, Freshia Sackey, Bonaventure F. P. Dossou, Chris Chinenye Emezue, Colin Leong, Michael Beukman, Shamsuddeen Hassan Muhammad, Guyo Dub Jarso, Oreen Yousuf, Andre Niyongabo Rubungo, Gilles Hacheme, Eric Peter Wairagala, Mu
Pubblicato in: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.naacl-main.223

Speaker Recognition on Mono-Channel Telephony Recordings

Autori: Yosef Solewicz and Noa Cohen and Johan Rohdin and Srikanth Madikeri and Jan ”Honza” Čercnocký
Pubblicato in: Proc. The Speaker and Language Recognition Workshop (Odyssey 2022), 2022, Pagina/e 193-199
Editore: Odyssey 2022
DOI: 10.21437/odyssey.2022-27

On Node Embedding of Uncertain Networks

Autori: Hoang H. Nguyen, Sergej Zerr, Tuan-Anh Hoang
Pubblicato in: 2020 IEEE International Conference on Big Data (Big Data), 2020, Pagina/e 5792-5794, ISBN 978-1-7281-6251-5
Editore: IEEE
DOI: 10.1109/bigdata50022.2020.9378022

MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings

Autori: Nguyen, Hoang H. and Nguyen, Nhat-Minh and Doan, Hong-Phuc and Ahmadi, Zahra and Doan, Thanh-Nam and Jiang, Lingxiao
Pubblicato in: Proceedings of the 30th ACM Joint European Software Engineer- ing Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE ’22), 2022, Pagina/e 1736–1740, ISSN 78-1-4503-9413-0
Editore: Association for Computing Machinery
DOI: 10.1145/3540250.3558927

Idiap Submission to Swiss-German Language Detection Shared Task

Autori: Shantipriya Parida, Esaú Villatoro-Tello, Sajit Kumar, Petr Motlicek, Qingran Zhan
Pubblicato in: Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), 2020
Editore: Creative Commons Licence

Idiap & UAM participation at GermEval 2020: Classification and Regression of Cognitive and Motivational Style from Text

Autori: Esáu Villatoro-Tello, Shantipriya Parida, Sajit Kumar, Petr Motlicek, and Qingran Zhan
Pubblicato in: Proceedings of GermEval Task 1 (“Classification and Regression of Cognitive and Motivational Style from Text”), 2020
Editore: Creative Commons Licence

ROXANNE Research Platform: Automate criminal investigations

Autori: Maël Fabien, Shantipriya Parida, Petr Motlicek, Dawei Zhu, Aravind Krishnan, Hoang H. Nguyen
Pubblicato in: Proc. Interspeech 2021, Numero INTERSPEECH 2021: Show & Tell Contribution, 2021, Pagina/e 962-964
Editore: 2021 ISCA

Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages

Autori: Michael A. Hedderich, David Adelani, Dawei Zhu, Jesujoba Alabi, Udia Markus, Dietrich Klakow
Pubblicato in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020, Pagina/e 2580-2591
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2020.emnlp-main.204

Idiap and UAM Participation at MEX-A3T Evaluation Campaign

Autori: Esaú Villatoro-Tello, Gabriela Ramírez-de-la-Rosa, Sajit Kumar, Shantipriya Parida, Petr Motlicek
Pubblicato in: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020), 2020, Pagina/e 252-257
Editore: Creative Commons License Attribution 4.0 International (CC BY 4.0)

Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yor\`ub\'a

Autori: Adelani, David Ifeoluwa; Hedderich, Michael A.; Zhu, Dawei; Berg, Esther van den; Klakow, Dietrich
Pubblicato in: ICLR 2020 Workshop, Numero 3, 2020
Editore: ICLR

MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities

Autori: Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang
Pubblicato in: 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), 2023, ISBN 978-1-6654-7330-9
Editore: IEEE
DOI: 10.1109/dsaa54385.2022.10032337

Incremental Semi-Supervised Learning for Multi-Genre Speech Recognition

Autori: Banriskhem Khonglah, Srikanth Madikeri, Subhadeep Dey, Herve Bourlard, Petr Motlicek, Jayadev Billa
Pubblicato in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Pagina/e 7419-7423, ISBN 978-1-5090-6631-5
Editore: IEEE
DOI: 10.1109/icassp40776.2020.9054309

Multivariate Time Series Analysis: An Interpretable CNN-based Model

Autori: Raneen Younis; Sergej Zerr; Zahra Ahmadi
Pubblicato in: 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), 2023, ISBN 978-1-6654-7330-9
Editore: IEEE
DOI: 10.1109/dsaa54385.2022.10032335

BertAA: BERT fine-tuning for Authorship Attribution

Autori: Fabien, Mael; VILLATORO-TELLO, Esaú; Motlicek, Petr; Parida, Shantipriya
Pubblicato in: Proceedings of the 17th International Conference on Natural Language Processing, 2020
Editore: ICON2020

Weaker Than You Think: A Critical Look at Weakly Supervised Learning

Autori: Dawei Zhu, Xiaoyu Shen, Marius Mosbach, Andreas Stephan, Dietrich Klakow
Pubblicato in: The 61st Annual Meeting of the Association for Computational Linguistics, 2023
Editore: ACL 2023
DOI: 10.48550/arxiv.2305.17442

Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification

Autori: Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow
Pubblicato in: Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022, Pagina/e 62-67
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.insights-1.8

On the Impact of Dataset Size:A Twitter Classification Case Study

Autori: Nguyen, Thi Huyen; Nguyen, Hoang H.; Ahmadi, Zahra; Hoang, Tuan-Anh; Doan, Thanh-Nam
Pubblicato in: WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2022, Pagina/e Pages 210–217, ISBN 978-1-4503-9115-3
Editore: 2021 Association for Computing Machinery
DOI: 10.1145/3486622.3493960

Speaker Embeddings by Modeling Channel-Wise Correlations

Autori: Themos Stafylakis, Johan Rohdin, Lukáš Burget
Pubblicato in: Proc. Interspeech 2021, 2021, Pagina/e 501-505
Editore: Interspeech 2021
DOI: 10.21437/interspeech.2021-1442

Open-Set Speaker Identification pipeline in live criminal investigations

Autori: Maël Fabien, Petr Motlicek
Pubblicato in: 2021 ISCA Symposium on Security and Privacy in Speech Communication, 2021, Pagina/e 21-24
Editore: 2021 ISCA
DOI: 10.21437/spsc.2021-5

Overview of the 6th Workshop on Asian Translation

Autori: Toshiaki Nakazawa, Nobushige Doi, Shohei Higashiyama, Chenchen Ding, Raj Dabre, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, Shantipriya Parida, Ondřej Bojar, Sadao Kurohashi
Pubblicato in: Proceedings of the 6th Workshop on Asian Translation, 2019, Pagina/e 1-35
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/d19-5201

ROXSD: a Simulated Dataset of Communication in Organized Crime

Autori: "Kvetoslav Maly, Gerhard Backfried, Francesco Calderoni, Jan ""Honza"" Černocký, Erinc Dikici, Maël Fabien, Jan Hořínek, Joshua Hughes, Miroslav Janošík, Marek Kovac, Petr Motlicek, Hoang H. Nguyen, Shantipriya Parida, Johan Rohdin, Miroslav Skácel, Sergej Zerr, Dietrich Klakow, Dawei Zhu, Aravind Krishnan"
Pubblicato in: Proc. 2021 ISCA Symposium on Security and Privacy in Speech Communication, 2021, Pagina/e 32-36
Editore: 2021 ISCA
DOI: 10.21437/spsc.2021-7

Graph2Speak: Improving Speaker Identification using Network Knowledge in Criminal Conversational Data

Autori: Maël Fabien; Seyyed Saeed Sarfjoo; Petr Motlicek; Srikanth Madikeri
Pubblicato in: 2021 ISCA Symposium on Security and Privacy in Speech Communication, Numero 1, 2021, Pagina/e 10-13
Editore: ISCA
DOI: 10.21437/spsc.2021-3

SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals

Autori: Zhang, Zijian and Setty, Vinay and Anand, Avishek
Pubblicato in: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Numero SIGIR '22, 2022, Pagina/e 3219–3223, ISBN 978-1-4503-8732-3
Editore: Association for Computing Machinery
DOI: 10.1145/3477495.3531677

Speech Activity Detection Based on Multilingual Speech Recognition System

Autori: Seyyed Saeed Sarfjoo; Srikanth Madikeri; Petr Motlicek
Pubblicato in: Proc. Interspeech 2021, Numero 4, 2021, Pagina/e 4369-4373
Editore: Interspeech 2021
DOI: 10.21437/interspeech.2021-1058

Inferring Highly-dense Representations for Clustering Broadcast Media Content

Autori: Esaú Villatoro-Tello, Shantipriya Parida, Petr Motlicek, Ondřej Bojar
Pubblicato in: Prague Bulletin of Mathematical Linguistics, Numero 115/1, 2020, Pagina/e 31-50, ISSN 1804-0462
Editore: Creative Commons CC BY-NC-ND
DOI: 10.14712/00326585.004

Multi-Vehicle Multi-Camera Tracking with Graph-Based Tracklet Features

Autori: T. T. Nguyen, H. H. Nguyen, M. Sartipi and M. Fisichella
Pubblicato in: IEEE Transactions on Multimedia, 2023, ISSN 1520-9210
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmm.2023.3274369

Real-Time Multi-Vehicle Multi-Camera Tracking with Graph-Based Tracklet Features

Autori: Nguyen, T. T., Nguyen, H. H., Sartipi, M., & Fisichella, M.
Pubblicato in: Transportation Research Record, 2023, ISSN 0361-1981
Editore: US National Research Council
DOI: 10.1177/03611981231170591

Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks

Autori: Federico Landini; Ján Profant; Mireia Diez; Lukas Burget
Pubblicato in: Computer Speech & Language, Numero Vol. 71, 2021, ISSN 0885-2308
Editore: Academic Press
DOI: 10.48550/arxiv.2012.14952

Inductive and Transductive Link Prediction for Criminal Network Analysis

Autori: Ahmadi, Zahra and Nguyen, Hoang H. and Zhang, Zijian and Bozhkov, Dmytro and Kudenko, Daniel and Jofre, Maria and Calderoni, Francesco and Cohen, Noa and Solewicz, Yosef
Pubblicato in: Journal of Computational Science, 2023, ISSN 1877-7503
Editore: Elsevier BV
DOI: 10.2139/ssrn.4331130

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

Autori: Francesco Calderoni, Salvatore Catanese, Pasquale De Meo, Annamaria Ficara, Giacomo Fiumara
Pubblicato in: Expert Systems with Applications, Numero 161, 2020, Pagina/e 113666, ISSN 0957-4174
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2020.113666

BertOdia: BERT pre-training for low resource Odia language

Autori: Shantipriya Parida, Satya Prakash Biswal, Biranchi Narayan Nayak, Maël Fabien, Esaú Villatoro-Tello, Petr Motlicek & Satya Ranjan Dash
Pubblicato in: Dehuri, S., Prasad Mishra, B.S., Mallick, P.K., Cho, SB. (eds) Biologically Inspired Techniques in Many Criteria Decision Making., Numero Smart Innovation, Systems and Technologies, vol 271, 2022, ISBN 978-981-16-8739-6
Editore: Springer
DOI: 10.1007/978-981-16-8739-6_32

BUT System Description for The Third DIHARD Speech Diarization Challenge

Autori: Federico Landini, Alicia Lozano-Diez, Lukas Burget, Mireia Diez, Anna Silnova, Katerina Zmolıkova, Ondrej Glembek, Pavel Matejka, Themos Stafylakis, Niko Brümmer
Pubblicato in: Proceedings available at Dihard Challenge Github, 2021
Editore: Dihard Challenge Github

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