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This methodology proves to be successful at classifying beluga signals, and the framework can be easily generalized to other acoustic classification problems.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 rel
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