Title
A comparison of cepstral coefficients and spectral moments in the classification of Romanian fricatives.
Abstract
In this paper we explore two methods for the classification of fricatives. First, for the coding of the speech, we compared two sets of acoustic measures obtained from a corpus of Romanian fricatives: (a) spectral moments and (b) cepstral coefficients. Second, we compared two methods of determining the regions of the segments from which the measures would be extracted. In the first method, the phonetic segments were divided into three regions of approximately equal duration. In the second method, Hidden Markov Models (HMMs) were used to divide each segment into three regions such that the variances of the measures within each region were minimized. The corpus we analyzed consists of 3674 plain and palatalized word-final fricatives from four places of articulation, produced by 31 native speakers of Romanian (20 females). We used logistic regression to classify fricatives by place, voicing, palatalization status, and gender. We found that cepstral coefficients reliably outperformed spectral moments in all classification tasks, and that using regions determined by HMM yielded slightly higher correct classification rates than using regions of equal duration.
Year
DOI
Venue
2016
10.1016/j.wocn.2016.05.002
Journal of Phonetics
Keywords
Field
DocType
Fricatives,Cepstral coefficients,Spectral moments,Place of articulation,Secondary palatalization,Classification,Romanian
Mel-frequency cepstrum,Pattern recognition,Romanian,Psychology,Speech recognition,Coding (social sciences),Place of articulation,Voice,Artificial intelligence,Hidden Markov model,Logistic regression
Journal
Volume
ISSN
Citations 
57
0095-4470
4
PageRank 
References 
Authors
0.46
12
2
Name
Order
Citations
PageRank
Laura Spinu1112.72
Jason Lilley284.32