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Method of the textdependent voice authentication

Abstract

In this work the authors propose method of user’s biometric authentication by parameters of his voice. The principal parameters of the developed model are individual speed of the speech and pronouncing length of the speech elements. In the cource of voice samples comparison algorithm development it was discovered that the analysis of the speech and pronouncing length of the speech elements in text dependent user’s voice authentication procedure is reduced to finding the percentage of recording segments, overlapping in content and location, with due consideration for the variability of the uttered passphrase total length. For comparison the Mel-frequency cepstral coefficients method was used.

About the Authors

Dmitriy Ivanov
Moscow Technological University
Russian Federation


Andrey Nikitin
Moscow Technological University
Russian Federation


References

1. Островский А.А., Жариков Д.Н., Лукьянов В.С., Попов Д.С. Динамические методы биометрической аутентификации // Известия Волгоградского государственного университета. 2010. Т. 6.

2. Рамишвили Г.С. Автоматическое опознавание говорящего по голосу. М.: Радио и связь, 1981.

3. Кедрова Г., Анисимов Н., Захаров Л. Сопоставительное МРТ-исследование артикуляционных моделей гласных звуков в разных языках // Вестник Московского государственного лингвистического университета. 2012. Т. 13. Серия «Языкознание».

4. Сорокин В.Н., Вьюгин В.В., Тананыкин А.А. Распознавание личности по голосу: Аналитический обзор // Информационные процессы. 2012. Т. 12.


Review

For citations:


Ivanov D., Nikitin A. Method of the textdependent voice authentication. History and Archives. 2016;(3):115-124. (In Russ.)

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ISSN 2658-6541 (Print)