Objective
SIIP is a break-through Suspect Identification solution based on a novel Speaker-Identification (SID) engine fusing multiple speech analytic algorithms (e.g. voiceprints recognition, Gender/Age/Language/Accent ID, Keyword/ Taxonomy spotting and Voice cloning detection). This Fused Speaker Identification will result in significantly higher true-positive speaker identification, reduced False-Positives/Negatives while increasing reliability & confidence. SIIP analyzes rich metadata from voice samples and social media. SIIP provides judicial admissible evidence for identifying crime/terror suspects as well as for mapping/tracing the suspect terror/crime network. SIIP is crucial when individuals use Internet-based applications (e.g. VoIP or social media) to plan a crime or terrorist attack. SIIP's results can easily be shared with relevant authorities based on a sustainable SIIP Info Sharing Center (SISC) located at INTERPOL. SISC guarantees an increased reliability of the identification results through advanced technologies and through voice samples checked against a large centralized database of samples collected by INTERPOLs 190 members (based on standard operating/data privacy procedures). SIIP multiplies and increases the information sharing and cooperation in the LEA community and speeds up the use of Speaker Identification by LEAs in Europe not only for individual identification but also for authentication. SIIP runs on all speech sources (e.g. Internet, PSTN, Cellular and SATCOM) and uses the latest OSINT data mining applications to obtain and corroborate voice samples. The SIIP consortium consists of 17 partners bringing together end-users, SME’s, industrial and academic partners from a variety of fields including Speech analytics, Social Media Analytics and Integration. To maximize its impact, SIIP will be designed, developed and tested with INTERPOL and police forces in the UK and Portugal, taking into account the various EU legal/ethical aspects and Interpol regulations.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences internet
- natural sciences computer and information sciences databases
- social sciences political sciences political transitions terrorism
- natural sciences computer and information sciences data science data mining
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-SEC-2013-1
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
46733 HERZLIYA
Israel
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Participants (20)
1090 Wien
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1920 Martigny
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14 564 NEA KIFISIA
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BLACKROCK
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56121 PISA
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49170 Petach Tiquva
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10148 TORINO
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1000 029 Lisboa
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W1W 5DR London
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78990 ELANCOURT
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9712CP Groningen
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CV4 8UW COVENTRY
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00195 Roma
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69006 Lyon
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BT5 6LE Belfast
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1149-019 Lisboa
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00187 Rome
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SE1 2AA London
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12435 Berlin
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35133 PADOVA PD
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