Analysis of adequacy of autoregressive model for Lithuanian vowels
Jonas Kaukėnas
Vilniaus universitetas
Gintautas Tamulevičius
Vilniaus universitetas
Published 2016-12-20


autoregressive model
speech signal analysis

How to Cite

Kaukėnas J. and Tamulevičius G. (2016) “Analysis of adequacy of autoregressive model for Lithuanian vowels”, Lietuvos matematikos rinkinys, 57(B), pp. 19–24. doi: 10.15388/LMR.B.2016.04.


Autoregressive (AR) model is widely used for modeling of speech signals. Nevertheless, the problem of adequate modelling of Lithuanian speech is still open. The results of this study indicate the need of much higher order models for Lithuanian wovel description. Only high order AR models enable us to model frequential properties of Lithuanian vowels adequately.

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