Quality of Speech Reproduction Using Stochastic Digital Systems of Information Transfer with its Statistical Compaction


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Resumo

Quality of oral speech reproduction using stochastic digital systems of information transfer at its statistical compaction is analyzed (on the example of Russian and Kazakh speeches) with the ratio of the speech signal power to the digitization and restoration noise power taken as quantitative characteristic of speech description. From an analysis of the results obtained it unambiguously follows that for analytical determination of the quality of speech message restoration using stochastic digital transfer systems it is expedient not to resort to approximations, but to use for estimation the experimentally obtained distribution of the probability of the number of successively rejected counts. The preference of the approach with alternating priority is established for a Russian speech message. In consideration of the Kazakh speech, the preference of the approach with alternating priority of the message is revealed. The approach with priority alternation in a count is the best of the three approaches being considered (with fixed priority, priority alternation in the transfer cycle Е1 and priority alternation in a count) for messages of the oral Russian and Kazakh speeches. This significant preference is explained by the influence of successive losses of more than one count on the ratio of the signal to noise power.

Sobre autores

E. Bakhtiyarova

Kazakh Academy of Transport and Communications Named after M. Tynyshpaev

Autor responsável pela correspondência
Email: baelag@mail.ru
Cazaquistão, Almaty

B. Kemel’bekov

Kazakh University of Railway Transport

Email: baelag@mail.ru
Cazaquistão, Almaty

Zh. Bekmagambetova

Kazakh Academy of Transport and Communications Named after M. Tynyshpaev

Email: baelag@mail.ru
Cazaquistão, Almaty

M. Lipskaya

Kazakh Academy of Transport and Communications Named after M. Tynyshpaev

Email: baelag@mail.ru
Cazaquistão, Almaty

T. Chigambaev

Kazakh Academy of Transport and Communications Named after M. Tynyshpaev

Email: baelag@mail.ru
Cazaquistão, Almaty

A. Orazymbetova

Kazakh Academy of Transport and Communications Named after M. Tynyshpaev

Email: baelag@mail.ru
Cazaquistão, Almaty

N. Ospanova

Kazakh Academy of Transport and Communications Named after M. Tynyshpaev

Email: baelag@mail.ru
Cazaquistão, Almaty

A. Mekebaeva

Kazakh Academy of Transport and Communications Named after M. Tynyshpaev

Email: baelag@mail.ru
Cazaquistão, Almaty

V. Khan

National Research Tomsk Polytechnic University; Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences

Email: baelag@mail.ru
Rússia, Tomsk; Tomsk

B. Mamilov

Kazakh Academy of Transport and Communications Named after M. Tynyshpaev

Email: baelag@mail.ru
Cazaquistão, Almaty

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