SIIP: An Innovative Speaker Identification Approach for Law Enforcement Agencies
| Type of publication: | Conference paper |
| Citation: | Khelif_STO-MP-IST-160_2018 |
| Publication status: | Published |
| Booktitle: | Big Data and Artificial Intelligence for Military Decision Making |
| Year: | 2018 |
| Month: | May |
| Pages: | PT-1 - 1: PT-1 - 14 |
| Publisher: | STO |
| Organization: | http://www.sto.nato.int/ |
| Note: | Meeting Proceedings RDP |
| ISBN: | ISBN 978-92-837-2181-9 |
| URL: | https://www.sto.nato.int/publi... |
| DOI: | 10.14339/STO-MP-IST-160 |
| 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 proposed solution is based on development, integration and fusion of a series of individual speech analytic algorithms which includes speaker recognition, gender/age/language/accent identification, large vocabulary multilingual automatic speech-to-text transcription, expanded by 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. The implemented system presented in this paper has been introduced to the international community of law-enforcement agencies animated by Interpol. Preliminary feedbacks collected from end-users indicate their satisfaction with the proposed architecture and its functionality. They also expressed different exploitation needs that we will try to take into account in a further work. |
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Idiap SIIP |
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| Added by: | [UNK] |
| Total mark: | 0 |
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