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 [BibTeX] [Marc21]
Towards a breakthrough Speaker Identification approach for Law Enforcement Agencies: SIIP
Type of publication: Conference paper
Citation: Khelif_EISIC2017_2017
Publication status: Published
Booktitle: European Intelligence and Security Informatics Conference (EISIC) 2017
Year: 2017
Month: September
Pages: 32-39
Publisher: IEEE Computer Society
Location: Athenes, Greece
ISBN: 978-1-5386-2385-5/17
Crossref: Khelif_Idiap-RR-29-2017:
URL: http://www.eisic.eu/eisic2017/...
DOI: 10.1109/EISIC.2017.14
Abstract: 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.
Keywords: audio and voice analysis, Forensics, LEA, OSINT, Speaker identification
Projects Idiap
Authors Khelif, Khaled
yann Mombrun
Backfried, Gerhard
Sahito, Farhan
Scarpatto, Luca
Motlicek, Petr
Kelly, Damien
Hazzani, Gideon
Chatzigavriil, Emmanouil
Madikeri, Srikanth
Added by: [UNK]
Total mark: 0
  • Khelif_EISIC2017_2017.pdf