ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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12
Issue
vol 59 / DECEMBER, 2016
Article
UDC 621.391.037.372

SPEECH SIGNALS STOCHASTICITY AND ITS EVALUATION

S. V. Aleinik
STC-Innovation Ltd., St. Petersburg; Scientist


M. . Stolbov
“STC - Innovation”, Saint Petersburg National Research University of Information Technologies, Mechanics and Optics; senior research fellow, Associated professor


Abstract. The known and new presented methods for evaluation of speech signal stochasticity are analyzed. Results of statistical simulation demonstrate advantages of the proposed approach as compared with the known ones: the estimates obtained with the new method possess lower variance and bias.
Keywords: stochasticity, speech signals, adaptive filtration, linear prediction