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 SIIP |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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