| Title: |
Preserving Privacy in Speaker and Speech Characterization |
| Authors: |
Nautsch, Andreas; Jiménez, A.; Treiber, A.; Kolberg, J.; Jasserand, Catherine; Kindt, Els; Delgadof, H.; Todisco, M.; Amine Hmani, M.; Ahmed Abdelraheem, M.; Abad, A.; Teixeira, F.; Matrouf, D.; Gomez-Barrero, M.; Petrovska-Delacrétaz, D.; Chollet, G.; Evans, N.; Schneider, Th; Bonastre, J.F.; Raj, B.; Trancoso, I.; Busch, Ch |
| Source: |
ISSN:0885-2308 ; ISSN:1095-8363 ; Computer Speech And Language, vol. 58, (441-480. |
| Publisher Information: |
Elsevier |
| Publication Year: |
2019 |
| Subject Terms: |
Science & Technology; Technology; Computer Science; Artificial Intelligence; Data privacy; Voice biometrics; Standardisation; Cryptography; Legislation; PUBLIC-KEY ENCRYPTION; HOMOMORPHIC ENCRYPTION; IMAGE-RECONSTRUCTION; IDENTIFICATION; RECOGNITION; EFFICIENT; VERIFICATION; MODELS; SECURE; TEMPLATES; 0801 Artificial Intelligence and Image Processing; 1702 Cognitive Sciences; 2004 Linguistics; Speech-Language Pathology & Audiology; 40 Engineering; 46 Information and computing sciences |
| Description: |
sponsorship: This work is partially supported by: the German Federal Ministry of Education and Research (BMBF) and the Hessen State Ministry for Higher Education, Research and the Arts within the German National Research Center for Applied Cybersecurity (www.crisp-da.de); the BioMobile II project (no. 518/16-30); the DFG as part of project E4 within the CRC 1119 CROSSING and project A.1 within the RTG 2050 Privacy and Trust for Mobile Users; the Horizon 2020 Victoria research project (grant agreement SEC-740754); research funds received from the French Agence Nationale de la Recherche-pl2X-sim-(ANR) in connection with the bilateral VoicePersonae (with JST CREST in Japan); RESPECT (with DFG in Germany) collaborative research projects; national funds in Portugal through Fundacao para a Ciencia e a Tecnologia (FCT) with reference UID/CEC/50021/2013; the SpeechXRays project that has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no 653586; the Privacy Preserving Secure Speech Recognition (PPSSR) project which had received funding from the European Union's H2020-INNOSUP-02-2016 (Innovation Associate Programme) under grant agreement no 739767; and by Omilia - Conversational Intelligence. (German Federal Ministry of Education and Research (BMBF), Hessen State Ministry for Higher Education, Research and the Arts within the German National Research Center for Applied Cybersecurity, DFG|CRC 1119, BioMobile II project|518/16-30, French Agence Nationale de la Recherche-pl2X-sim-(ANR), JST CREST in Japan, national funds in Portugal through Fundacao para a Ciencia e a Tecnologia (FCT)|UID/CEC/50021/2013, European Union|739767, European Union|653586, Horizon 2020 Victoria research project|SEC-740754, H2020 Societal Challenges Programme|653586, H2020 - Industrial Leadership|739767) ; status: Published |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
https://lirias.kuleuven.be/handle/123456789/663611; https://doi.org/10.1016/j.csl.2019.06.001 |
| DOI: |
10.1016/j.csl.2019.06.001 |
| Availability: |
https://lirias.kuleuven.be/handle/123456789/663611; https://lirias.kuleuven.be/retrieve/152a45df-6403-4c37-9c76-d903d2c84f2c; https://doi.org/10.1016/j.csl.2019.06.001 |
| Rights: |
info:eu-repo/semantics/openAccess ; public |
| Accession Number: |
edsbas.928F8347 |
| Database: |
BASE |