The allocation of self-similar structures in voice signals for speaker identification tasks

Authors

DOI:

https://doi.org/10.15587/2313-8416.2017.101098

Keywords:

speech signal, self-similar structure, fractal dimension, speech segmentation, speaker recognition

Abstract

The problem of allocation of identification characteristics of the speaker as parameters of the frequency basic tone and speaker recognition based on scaled and fractal transformation is investigated. The approach to allocation of unique individual self-similar structures is proposed and developed techniques of voice signal processing can use them to build speech recognition systems of voice signals and to create intelligent systems of interaction between user and computer

Author Biography

Yana Byelozorova, National Aviation University Kosmonavta Komarova ave., 1, Kyiv, Ukraine, 03058

Assistant

Department of software engineering

References

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Published

2017-05-31

Issue

Section

Technical Sciences