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2013, 4

V. V. Mitsianok, N. V. Konovalova

Phase analysis of human speech for persons recognition through voice

language: Russian

received 02.04.2013, published 21.05.2013

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ABSTRACT

The method of approximation is used for decomposition of different sounds of human speech on modes. The data on five specific sounds received from 11 respondents are presented. The behavior of the amplitudes and phases of the modes of sounds is examined. It was found that the phases of different modes of every sound are not independent random variables, on the contrary, there is dependence between them. This dependence is unique for each respondent. It indicates to possibility to automatically identify of a person through voice.

Key words: automatic speech recognition, digital signal processing, pattern recognition person's voice

10 pages, 4 figures

Сitation: V. V. Mitsianok, N. V. Konovalova. Phase analysis of human speech for persons recognition through voice. Electronic Journal “Technical Acoustics”, http://www.ejta.org, 2013, 4.

REFERENCES

1. Сорокин, В.Н. Распознавание личности по голосу: аналитический обзор / В.Н. Сорокин, В.В. Вьюгин, А.А. Тананыкин // Информационные процессы. – 2012. – Т12. – N.1. – С.1.
2. Способ контактно-разностной акустической идентификации личности: Пат. РФ 2451346. МПК G10L17/00 / Дворянкин С.В., Голубинский А.Н. – N2011116633/08; заявл. 27.04.2011; опубл.20.05.2012 // Бюлл. N14 – 11 с.
3. Способ аутентификации диктора по парольной фразе: Пат РФ 2422920 и РФ 2422921. МПК G10L15/00 / Столов Е. Л. – заявка N2009106368/09; заявл.24.02.2009; опубл. 27.06.2011 // Бюлл. N18, – заявка N2009130688; заявл.11.08.2009; опубл. 27.06.2011; Бюлл. // N18.
4. Митянок, В.В. О числовых характеристиках некоторых низкочастотных звуков человеческой речи [Электронный ресурс] // Техническая акустика. – Электрон. журн. – 2008. – 15. – Режим доступа: http://www.ejta.org, свободный.
5. Митянок, В.В. Определение числовых характеристик высокочастотных звуков речи на основе аппроксимации гармоническими функциями / В.В. Митянок // Известия НАН Беларуси, Сер.ф.-м.н. – 2009. – N2. – C. 111.
6. Калинина, В.Н. Математическая статистика / В.Н. Калинина, В.Ф. Панкин. – М: Изд-во «Дрофа», 2002. – 336 c.
7. Воскобойников, Ю.Е. Фильтрация сигналов и изображений: Фурье и вейвлет алгоритмы / Ю.Е. Воскобойников, А.В. Гочаков, А.Б. Колкер. – Новосибирск: Изд-во «СИБСТРИН», 2010. – 195 c.


 

Viachaslau V. Mitsianok, born 1951., Ph.D., associate professor at Mathematics & Computer Science department of Polessian St. Univ., Belorussia. Dissertation (1975) was devoted to the problems of the motion of bodies in General Relativity. Scientific interests is in theoretical physics, theory of Variable stars, mathematical processing of signals, image recognition.

e-mail: mitsianok(at)mail.ru

 
 

Nonna V. Konovalova, Ph.D., associate professor at Mathematics & Computer Science department. Dissertation (1992) was devoted to the problems of transformation of the different organic substances in living organisms. Scientific interests is in biophysics, biophysical and biochemical processes in human bodies.