Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2022
Title: Towards Measuring Uniqueness of Human Voice
Authors: Tandoğan, Sinan Erkam
Sencar, Hüsrev Taha
Tavlı, Bülent
Keywords: Speech
Verification
text-independent speaker
Issue Date: 2017
Publisher: IEEE
Source: 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.
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.
Description: 2017 IEEE WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS) (2017 : Rennes; France)
URI: https://ieeexplore.ieee.org/document/8267666
https://hdl.handle.net/20.500.11851/2022
ISBN: 978-1-5090-6769-5
ISSN: 2157-4766
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

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