%Aigaion2 BibTeX export from Idiap Publications %Tuesday 10 December 2024 06:01:58 PM @INPROCEEDINGS{Khelif_EISIC2017_2017, author = {Khelif, Khaled and yann Mombrun and Backfried, Gerhard and Sahito, Farhan and Scarpatto, Luca and Motlicek, Petr and Kelly, Damien and Hazzani, Gideon and Chatzigavriil, Emmanouil and Madikeri, Srikanth}, keywords = {audio and voice analysis, Forensics, LEA, OSINT, Speaker identification}, projects = {Idiap, SIIP}, month = sep, title = {Towards a breakthrough Speaker Identification approach for Law Enforcement Agencies: SIIP}, booktitle = {European Intelligence and Security Informatics Conference (EISIC) 2017}, year = {2017}, pages = {32-39}, publisher = {IEEE Computer Society}, location = {Athenes, Greece}, isbn = {978-1-5386-2385-5/17}, url = {http://www.eisic.eu/eisic2017/organization.aspx}, doi = {10.1109/EISIC.2017.14}, crossref = {Khelif_Idiap-RR-29-2017}, 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.}, pdf = {https://publications.idiap.ch/attachments/papers/2017/Khelif_EISIC2017_2017.pdf} } crossreferenced publications: @TECHREPORT{Khelif_Idiap-RR-29-2017, author = {Khelif, Khaled and yann Mombrun and Motlicek, Petr and Backfried, Gerhard and Kelly, Damien and Sahito, Farhan and Hazzani, Gideon and Scarpatto, Luca and Chatzigavriil, Emmanouil and Madikeri, Srikanth}, keywords = {audio and voice analysis, Forensics, LEA, OSINT, Speaker identification}, projects = {SIIP}, month = {10}, title = {Towards a breakthrough speaker identification approach for law enforcement agencies}, type = {Idiap-RR}, number = {Idiap-RR-29-2017}, year = {2017}, institution = {Idiap}, address = {Rue Marconi 19, Martigny, Switzerland}, abstract = {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.}, pdf = {https://publications.idiap.ch/attachments/reports/2017/Khelif_Idiap-RR-29-2017.pdf} }