Towards a Breakthrough Speaker Identification Approach for Law Enforcement Agencies: SIIP
Khaled Khelif, Yann Mombrun, Gerhard Backfried, Farhan Sahito, Luca Scarpato, Petr Motlíček, Srikanth R. Madikeri, Damien P. Kelly, Gideon Hazzani, Emmanouil Chatzigavriil · 2017
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.