Towards a breakthrough Speaker Identification approach for Law Enforcement Agencies: SIIP

This paper describes SIIP (Speaker Identification Integrated Project) a high performance innovative and sustainable Speaker Identification (SID) solution, running over large voice samples database. The solution is based on development, integration and fusion of a series of speech analytic algorithms which includes speaker model recognition, gender identification, age identification, language and accent identification, keyword and taxonomy spotting. A full integrated system is proposed ensuring multisource data management, advanced voice analysis, information sharing and efficient and consistent man-machine interactions.


Presented at:
European Intelligence and Security Informatics Conference (EISIC) 2017, S, Dekelia Air Base, Attica, Greece
Year:
2017
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 Record created 2017-12-19, last modified 2018-03-17

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