Acoustic features determination for regularity articulation quantification of Serbian fricatives

This paper presents a brief methodology for determination of relevant parameters for automatic articulation regularity quantification of Serbian fricatives pronunciation. Using the known methods and algorithms as well as developing new ones for analysis of phoneme pronunciation process, authors used neural networks as a tool for modeling. Here we present a comparison of fricative articulation quality assessment, based on the different features of the speech signal.