VOICE SPEAKER IDENTIFICATION AS ONE OF THE CURRENT BIOMETRIC METHODS OF IDENTIFICATION OF A PERSON
DOI:
https://doi.org/10.32353/khrife.1.2019.18Keywords:
biometric identification technologies, Voice Identification Speaker, person verification, automatic speech recognition methods, examination of video, audio recordings.Abstract
The article deals with the most widespread biometric identification systems of individuals, including voice recognition of the speaker on video and sound recordings. The urgency of the topic of identification of a person is due to the active informatization of modern society and the increase of flows of confidential information.
The branches of the use of biometric technologies and their general characteristics are given. Here is an overview of the use of identification groups that characterize the voice. Also in the article the division of voice identification systems into the corresponding classes is given.
The main advantages of voice biometrics such as simplicity of system realization are considered; low cost (the lowest among all biometric methods); No need for contact, the voice biometry allows for long-range verification, unlike other biometric technologies.
The analysis of existing methods of speech recognition recognition identifying a person by a combination of unique voice characteristics, determining their weak and strong points, on the basis of which the choice of the most appropriate method for solving the problem of text-independent recognition, Namely the model of Gaussian mixtures, was carried out.
The prerequisite for the development of speech technologies is a significant increase in computing capabilities, memory capacity with a significant reduction in the size of computer systems. It should also be Noted the development of mathematical methods that make it possible to perform the Necessary processing of an audio signal by isolating informative features from it.
It has been established that the development of information technologies, and the set of practical applications, which use voice recognition technologies, make this area relevant for further theoretical and practical research.
References
Biometriya ot «A» do «Ya»: polnoe rukovodstvo biometricheskoy identifikatsii i autentifikatsii. URL: https://securityrussia.com/blog/ biometriya.html (data zvernennia 23.05.2019) [in Russian].
Building Synthetic Voices, Festvox, Carnegie Mellon University. URL: http://www.festvox.org/flite/doc/index.html (data zvernennia 08.05.2019).
Entsyklopediia suchasnoi Ukrainy. URL: http://esu.com.ua/ search_articles.php?id=35327 (data zvernennia 06.05.2019) [in Ukranian].
Huang, X., Acero, A., Hon, H. (2001). Spoken language processing: a guide to theory, algorithm, and system development. Prentice Hall PTR, 2001.
ISO/IEC 2382-37:2012. (Information technology — Vocabulary — Part 37:Biometrics, IDT) URL: https://www.iso.org/standard/55194.html (data zvernennia 13.05.2019).
ISO/IEC 2382-37-2016 [ISO/IEC 2382-37:2012] (Information technology — Vocabulary-Part37:Biometrics, IDT) URL: https://meganorm.ru/ Data2/1/4293747/ 4293747566.pdf (data zvernennia 13.05.2019).
Koval, S. L. (2006). Formants matching as a robust method for forensic speaker identification. SPECO. XI International Conference «Speech and Computer», (SPECOM'2006), 25-29 June 2006. St. Petersburg, Russia, 125-128. M’2006 Proceedings
Matveev, Yu.N., Simonchik, K.K. (2010). Sistema identifikatsii diktorov po golosu dlya konkursa NIST SRE 2010. Trudyi 20-y mezhd. konf. po kompyuternoy grafike i zreniyu GrafiKon’2010’ Sankt-Peterburg [in Russian].
Shchemelynyn, V. L. (2015). Metodika i kompleks sredstv otsenki effektivnosti autentifikatsii golosovyimi biometricheskimi sistemami: diss. na soisk. nauch. stepeni kand. tehn. nauk), (18-23) Sankt-Peterburg [in Russian].
Tsarov, R. Iu., Lemekha, T. M. (2016). Biometrychni tekhnolohii’: navch. рosib. Odessa [in Ukranian].Zakharov, V. P., Rudeshko, V. I. (2015). Biometrychni tekhnolohii v XXI stolitti ta yikh vykorystannia pravookhoronnymy orhanamy: posib, Lviv [in Ukranian].
Zbirnyk Naukovykh prats Tsentru voienno-stratehichnykh doslidzhen Natsionalnoho universytetu oborony Ukrainy imeni Ivana Cherniakhovskoho. URL: https://nuou.org.ua/assets/journals/zbirnyk_cvsd/zb-3-64-2018.pdf (data zvernennia 12.06.2019) [in Ukranian].
