A Method For Autoregression Modeling of a Speech Signal

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The problem of autoregressive modeling of a speech signal based on the data of the discrete Fourier transform in the mode of a sliding observation window of small duration (milliseconds) is considered. The problem of stability of the formed autoregressive model is investigated. To overcome it, it is proposed to use the envelope of the Schuster periodogram as a reference spectral sample. A new method of autoregressive modeling has been developed, in which the detection of the spectral envelope is carried out using a recirculator of a sequence of samples in the frequency domain. An example of its practical implementation is considered, a full-scale experiment is set up and carried out. Based on the results of the experiment, conclusions were drawn about achieving a significant gain in terms of not only stability, but also the accuracy of the autoregressive model of the speech signal.

作者简介

V. Savchenko

National Research University Higher School of Economics

编辑信件的主要联系方式.
Email: vvsavchenko@yandex.ru
Nizhny Novgorod, 603155 Russia

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版权所有 © В.В. Савченко, 2023

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