ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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10
Issue
vol 61 / OCTOBER, 2018
Article
UDC 621.391.037.372

SPEECH SIGNALS STOCHASTICITY AND ITS EVALUATION

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


M. B. Stolbov
ITMO University, Saint Petersburg, 197101, Russian Federation; Associated professor


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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