Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/2022
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tandoğan, Sinan Erkam | - |
dc.contributor.author | Sencar, Hüsrev Taha | - |
dc.contributor.author | Tavlı, Bülent | - |
dc.date.accessioned | 2019-07-10T14:42:46Z | |
dc.date.available | 2019-07-10T14:42:46Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Tandogan, S. E., Sencar, H. T., & Tavli, B. (2017, December). Towards measuring uniqueness of human voice. In 2017 IEEE Workshop on Information Forensics and Security (WIFS) (pp. 1-6). IEEE. | en_US |
dc.identifier.isbn | 978-1-5090-6769-5 | |
dc.identifier.issn | 2157-4766 | |
dc.identifier.uri | https://ieeexplore.ieee.org/document/8267666 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/2022 | - |
dc.description | 2017 IEEE WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS) (2017 : Rennes; France) | |
dc.description.abstract | The use of voice as a biometric modality for user authentication and identification has grown very rapidly. It is therefore very important that we understand limitations of such systems which will ultimately depend on the discriminative power of the voice biometric. In this paper, we have contributed towards measuring distinctiveness of voice biometric by both formulating a new measure and creating a new dataset to perform more reliable measurements. For this purpose, we evaluate the prominent approaches in the field and propose a new approach that better incorporates within-user variability and is analytically more tractable. Our newly created dataset includes voice samples extracted from close to two thousand TED Talks videos. Overall our measurements on this dataset revealed a biometric information content of about 60 bits in human voice. Further, tests performed by adding some generic voice effects on the samples show that the distinctiveness reduces by almost 20 bits, implying that when true variability is reflected in user samples resulting entropy may further reduce. | en_US |
dc.description.sponsorship | BİDEB-2210 | |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | IEEE International Workshop on Information Forensics and Security | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Speech | en_US |
dc.subject | Verification | en_US |
dc.subject | text-independent speaker | en_US |
dc.title | Towards Measuring Uniqueness of Human Voice | en_US |
dc.type | Conference Object | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Electrical and Electronics Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | tr_TR |
dc.authorid | 0000-0001-6910-6194 | - |
dc.authorid | 0000-0002-9615-1983 | - |
dc.identifier.wos | WOS:000426121000026 | en_US |
dc.identifier.scopus | 2-s2.0-85049788007 | en_US |
dc.institutionauthor | Sencar, Hüsrev Taha | - |
dc.institutionauthor | Tavlı, Bülent | - |
dc.identifier.doi | 10.1109/WIFS.2017.8267666 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | - | - |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.3. Department of Computer Engineering | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
CORE Recommender
SCOPUSTM
Citations
1
checked on Dec 21, 2024
Page view(s)
78
checked on Dec 23, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.