One of the prominent challenges encountered by law enforcement agencies (LEA) fighting crime and terrorism is the use of multiple and arbitrary identities by terrorists and criminals.
The SIIP* project aimed to overcome this to enable LEAs to have better intelligence capabilities while working within the appropriate privacy, legal and ethics considerations.
The project lasted from the first of May, 2019 until the 30th of April, 2018. During its 4 year operations, the SIIP project developed a high performance innovative Speaker Identification (SID) solution, running over a large voiceprint database. The solution was based on integration and fusion of a series of state of the art Speech Analytic Engines which includes Voiceprint recognition, Gender Identification, Age identification, Language and Accent Identification and Keyword and Taxonomy spotting. This fusion was the core technology of SIIP and we named it ‘F-SID’ (Fused Speaker Identification). The SIIP integrated solution was based on the “privacy by design” and privacy was respected at the level of each module developed and at the level of the overall system integration. Substantial safeguards, including a dedicated ethics advisory board, were put in place at the start of the project. The board continued to operate until after the final review approximately 2 months after the end of the SIIP project.
*This project has received funding from the European Union’s FP7-SECURITY program under the grant agreement № 607784.