SPEECH SIGNALS STOCHASTICITY AND ITS EVALUATION
ITMO University, Saint Petersburg, 197101, Russian Federation; Engineer
M. B. Stolbov
ITMO University, Saint Petersburg, 197101, Russian Federation; Associated professor
Read the full article
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
