Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Aleksandr Sizov"'
The textbook examines how the development of cadastral relations took place in our country and abroad, which related cadastres and registers interacting with the unified state Register of Real estate (EGRN) are currently being conducted, how these re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe23f60dcf27e4e1ab7e39be9d641bb7
https://doi.org/10.12737/1866814
https://doi.org/10.12737/1866814
Publikováno v:
Bulletin of Bryansk state technical university. 2019:78-85
The work is devoted to the consideration of the approach to effectiveness increase in socialeconomic system operation through the fuzzy model development for the supplier choice of commoditymaterial stocks in logistic companies. The problem urgency i
The book outlines the basic concepts in the field of environmental protection, land management, environmental regulation, environmental and land management expertise. The list of objects of environmental expertise has been updated. The problems of la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dba20d3a129ccb4f73d7d5ef318785b
https://doi.org/10.29003/m1722.978-5-317-06499-0
https://doi.org/10.29003/m1722.978-5-317-06499-0
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25:588-597
We explore a method to boost discriminative capabilities of probabilistic linear discriminant analysis PLDA model without losing its generative advantages. We show a sequential projection and training steps leading to a classifier that operates in th
Publikováno v:
2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).
The structural and functional diagram of a message transmission unit of a mathematical model of a multi-container steganographic system has been developed. The stability of the simulated system to passive, active and cryptographic attacks is shown. T
Publikováno v:
IEEE Transactions on Information Forensics and Security. 10:821-832
Any biometric recognizer is vulnerable to spoofing attacks and hence voice biometric, also called automatic speaker verification (ASV), is no exception; replay, synthesis, and conversion attacks all provoke false acceptances unless countermeasures ar
Autor:
Zhizheng Wu, Junichi Yamagishi, Tomi Kinnunen, Cemal Hanilci, Mohammed Sahidullah, Aleksandr Sizov, Nicholas Evans, Massimiliano Todisco, Hector Delgado
Publikováno v:
Wu, Z, Yamagishi, J, Kinnunen, T, Hanilc, C, Sahidullah, M, Sizov, A, Evans, N, Todisco, M & Delgado, H 2017, ' ASVspoof: the Automatic Speaker Verification Spoofing and Countermeasures Challenge ', IEEE Journal of Selected Topics in Signal Processing, vol. 11, no. 4, pp. 588-604 . https://doi.org/10.1109/JSTSP.2017.2671435
IEEE Journal of Selected Topics in Signal Processing
IEEE Journal of Selected Topics in Signal Processing
Concerns regarding the vulnerability of automatic speaker verification (ASV) technology against spoofing can undermine confidence in its reliability and form a barrier to exploitation. The absence of competitive evaluations and the lack of common dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77ee14f111a2aa303c9d8ddcd4a22f75
https://www.pure.ed.ac.uk/ws/files/31256663/T_ASL_ASVspoof_3.pdf
https://www.pure.ed.ac.uk/ws/files/31256663/T_ASL_ASVspoof_3.pdf
Autor:
Timur Pekhovsky, Aleksandr Sizov
Publikováno v:
Pattern Recognition Letters. 34:1307-1313
We present a comparison of speaker verification systems based on unsupervised and supervised mixtures of probabilistic linear discriminant analysis (PLDA) models. This paper explores current applicability of unsupervised mixtures of PLDA models with
Autor:
Ville Hautamäki, Eng Siong Chng, Haizhou Li, Guangsen Wang, Kong Aik Lee, Amir Hossein Poorjam, Chenglin Xu, Trung Ngo Trong, Ivan Kukanov, Sylvain Meignier, Hanwu Sun, Jianshu Chen, Haihua Xu, Xiong Xiao, Li Deng, Wei Rao, Aleksandr Sizov, Anthony Larcher, Bin Ma, Trung Hieu Nguyen
Publikováno v:
INTERSPEECH
The series of language recognition evaluations (LRE's) conducted by the National Institute of Standards and Technology (NIST) have been one of the driving forces in advancing spoken language recognition technology. This paper presents a shared view o
Publikováno v:
Odyssey