| Authors |
Alimuradov Alan Kazanferovich, candidate of technical sciences, director of student research and production business incubator,
Penza State University (40 Krasnaya street, Penza, Russia), E-mail: alansapfir@yandex.ru
Kvitka Yury Sergeyevich, postgraduate student, Penza State University (40 Krasnaya street, Penza, Russia),
E-mail: alansapfir@yandex.ru
Churakov Petr Pavlovich, doctor of technical sciences, professor, sub-department of Information and measuring equipment and metrology, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: churakov-pp@mail.ru
Tychkov Aleksandr Yur'evich, candidate of technical sciences, deputy director at the Research Institute for Basic and Applied Studies, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: tychkov-a@mail.ru
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| Abstract |
Background. The article considers an urgent problem – increasing the accuracy of measuring the pitch frequency of speech signals. The object of research is the decomposition of speech signals on deterministic and stochastic frequency components using various methods. The subject of research is an improved complete ensemble empirical mode decomposition with adaptive noise. The purpose of research is the optimization of process of decomposition to improve the accuracy of measuring the pitch frequency due to improvement of the frequency-selective properties.
Materials and methods. For the decomposition of speech signals on frequency components, an adaptive technology for analyzing non-stationary signals -an improved complete ensemble empirical mode decomposition with adaptive noise was used.
Research and analysis of the data was performed in the environment of mathematical modeling © Matlab (MathWorks).
Results. A brief overview of known methods of decomposition based on the Fourier transform and wavelet transform is presented. Their advantages and disadvantages are considered, prospects of applying the empirical mode decomposition method are revealed. A detailed mathematical description of the varieties of decompositions is presented and the need of optimization of improved complete ensemble empirical mode decomposition with adaptive noise is emphasized. A method of optimization of improved decomposition for
increasing the accuracy of measuring the pitch frequency with a brief mathematical description is presented.
Conclusions. The research of the method aimed at optimal determination of the operating parameters for the improved decomposition is carried out. It is shown that the proposed method, based on the improved complete ensemble empirical mode decomposition with adaptive noise, successfully solves the problem of increasing the accuracy of measuring the pitch frequency due to the best frequency-selective properties.
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