TY  - JOUR
A1  - Ghaffarvand Mokari, Payam
A1  - Sardhaei, Nasim Mahdinezhad
T1  - Predictive power of cepstral coefficients and spectral moments in the classification of Azerbaijani fricatives
T2  - The journal of the Acoustical Society of America
N2  - This study compares the classification of Azerbaijani fricatives based on two sets of features: (a) spectral moments, spectral peak, amplitude, duration, and (b) cepstral coefficients employing Hidden Markov Models to divide each fricative into three regions such that the variances of the measures within each region are minimized. The cepstral coefficients were found to be more reliable predictors in the classification of all nine Azerbaijani fricatives and the cepstral measures yielded highly successful classification rates (91.21% across both genders) in the identification of the full set of fricatives of Azerbaijani.
Y1  - 2020
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/58454
SN  - 0001-4966
SN  - 1520-8524
VL  - 147
IS  - 3
SP  - EL228
EP  - EL234
PB  - American Institute of Physics
CY  - Melville
ER  -