REPORT Khelif_Idiap-RR-29-2017/IDIAP Towards a breakthrough speaker identification approach for law enforcement agencies Khelif, Khaled yann Mombrun, Motlicek, Petr Backfried, Gerhard Kelly, Damien Sahito, Farhan Hazzani, Gideon Scarpatto, Luca Chatzigavriil, Emmanouil Madikeri, Srikanth audio and voice analysis Forensics LEA OSINT Speaker identification EXTERNAL http://publications.idiap.ch/attachments/reports/2017/Khelif_Idiap-RR-29-2017.pdf PUBLIC Idiap-RR-29-2017 2017 Idiap Rue Marconi 19, Martigny, Switzerland October 2017 This paper describes 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.