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Method of real-time updating for voice templates in the Unified Biometric System
https://doi.org/10.32446/0368-1025it.2020-5-58-65
Abstract
The article was written in the development of ideas from a previous work of the authors [5]. The task of automated quality control of voice templates, which were registered and stored in the Unified Biometric System is considered. A solution to the problem of timely updating of the collected templates is proposed, since over time they lose their consumer qualities. A new indicator of the acoustic quality of voice templates in the Kullback–Leibler information metric was investigated and a method for measuring it at the moments when users contacting the system with service requests was proposed. An example of the practical implementation of the proposed method is shown. Using the author's software, a full-scale experiment was conducted, quantitative estimates of the period for updating voice templates were obtained, and recommendations were given on their practical application. The results can be used to develop new and modernize existing systems and technologies for automated quality control and updating of biometric personal data templates.
About the Authors
V. V. Savchenko
Nizhniy Novgorod State Linguistic University
Russian Federation
Russian Federation
Vladimir V. Savchenko
Nizhniy Novgorod
A. V. Savchenko
National Research University Higher School of Economics
Russian Federation
Russian Federation
Andrey V. Savchenko
Nizhniy Novgorod
References
1. Singh M., Singh R., Ross A., Information Fusion, 2019, vol. 52, no. 12, pp. 187–205. DOI:10.1016/j.inffus.2018.12.003
2. Barra S., Castiglione A., Narducci F., De Marsico M., Nappi M., Image and Vision Computing, 2018, vol. 76, no. 8, pp. 27–37. DOI:10.1016/j.imavis.2018.05.001
3. Chowdhury F., Selouani S. A., O’Shaughnessy D., In book: Signal and Image Processing for Biometrics, John Wiley & Sons, Inc., 2013, pp. 131–148. DOI:10.1002/9781118561911.ch7
4. Smallman M., Biometric Technology Today, 2017, vol. 2017, no. 1, pp. 5–7. DOI:10.1016/S0969-4765(17)30013-9
5. Savchenko V. V., Savchenko A. V., Measurement Techniques, 2019, vol. 62, no. 12, pp. 46–52. DOI:10.32446/0368-1025it.2019-12-40-46
6. Kekre H. B., Bharadi V. A., 2009 IEEE International Advance Computing Conference, Patiala, India, Pub. IEEE, 2009, pp. 535–540. DOI:10.1109/IADCC.2009.4809068
7. Anzar S. M., Amala K., Rajendran R., Computers & Electrical Engineering, 2016, vol. 50, no. 2, pp. 10–25. DOI:10.1016/j.compeleceng.2015.12.003
8. Matveev Y., Lecture Notes in Computer Science, 2013, vol. 8113, pp. 345–353. DOI:10.1007/978-3-319-01931-4_46
9. Sholokhov A., Kinnunen T., Vestman V., Lee K. A., Computer Speech & Language, 2019. vol. 59. no. 10, pp. 101–110. DOI:1016/j.csl.2019.101024
10. Hansen J., Bořil H., Speech Communication, 2018, vol. 101, no. 5, pp. 94–108. DOI:10.1016/j.specom.2018.05.004
11. Heald Sh., Klos S. Nusbaum H., In book Neurobiology of Language, USA, Academic Press, 2015, pp. 195–208. DOI:10.1016/B978-0-12-407794-2.00017-1
12. Chuchupal V. Ya., Mashinnoe obuchenie i analiz dannykh, 2016, vol. 2, no. 4, pp. 370–377 (in Russian). DOI:10.21469/22233792.2.4.01
13. Pat. US 8 775178 B2. United States. Int. Cl.7 G10L 15/063. Updating a voice template / Yukari M., Masami N., International Business Machines Corp., No. 2008-275807, Oct. 27, 2008 – No. US 2010/01065O1 A1, Apr. 29, 2010. Pub. Apr. 9, 2013, 11 p.
14. Savchenko V. V., Radiophysics and Quantum Electronics,
15. , vol. 58, no. 5, pp. 373–379. DOI:10.1007/s11141-015-9611-4
16. Protokol naturnykh ispytanii, available at: https://sites.google.com/site/frompldcreators/protocol_3-1.pdf(accessed:02.11.2019)(in Russian).
17. Kullback S., Information Theory and Statistics, N.Y., Dover Publications, 1997, 432 p., available at:https://www.amazon.com/Information-Theory-Statistics-Dover-Mathematics/dp/0486696847
18. Savchenko V. V., Savchenko L. V., Measurement Techniques, 2019, vol. 61, no. 9, pp. 59–64. DOI:10.1007/s11018-019-01702-1
19. Savchenko V. V., Journal of Communications Technology and Electronics, 2019, vol. 64, no. 6, pp. 590–596. DOI:10.1134/S1064226919060093
20. Savchenko V. V., Measurement Techniques, 2018, vol. 61, no. 1, pp. 79–84. DOI:10.1007/s11018-018-1391-8
21. Programmno-apparatnyi kompleks Phoneme Training, available at: https://sites.google.com/site/frompldcreators/produkty-1/phonemetraining(accessed:02.11.2019) (in Russian).
22. Savchenko V. V., Savchenko A. V., Journal of Communications Technology and Electronics, 2016, vol. 61, no. 4, pp. 430–435. DOI:10.1134/S1064226916040112
23. Muller P. H., Neumann P., Storm R., Tafeln der mathematischen Statistik, Leipzig, VEB Fachbuchverlag, 1973, 279 p. DOI:10.1002/bimj.19740160816
24. Savchenko V. V., Savchenko A. V., Radioelectronics and Communications Systems, 2019, vol. 62, no. 5, pp. 276–286. DOI:10.3103/S0735272719050042
25. Benesty J., Sondhi M. M., Huang Y., Linear prediction: In Springer handbook of speech processing. Pt. B, N. Y., Springer, 2008, pp. 111–121. DOI:10.1007/978-3-540-49127-9_7
26.
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For citations:
Savchenko V.V., Savchenko A.V. Method of real-time updating for voice templates in the Unified Biometric System. Izmeritel`naya Tekhnika. 2020;(5):58-65. (In Russ.) https://doi.org/10.32446/0368-1025it.2020-5-58-65
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