Title :
Separation of fricatives from aspirated plosives by means of temporal spectral variation
Author :
Chan, Cborkin ; Ng, K.W.
Author_Institution :
University of Hong Kong, Hong Kong
fDate :
10/1/1985 12:00:00 AM
Abstract :
This paper discusses the separation of fricatives from aspirated plosives based on the dynamic properties of the consonant spectra. Twelve features of each CV syllable were constructed and employed to determine the discriminants for the two manners of articulation. Correct classifications were around 85 percent if the cases to be classified belonged to a set of CV syllables of 1) the same place of articulation under the same vowel environment; 2) the same vowel environment; or 3) the same place of articulation without using any information from the vowel region at all.
Keywords :
Acoustic signal detection; Clustering algorithms; Equations; Natural languages; Signal detection; Speech recognition; Statistics; Target recognition; Training data;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1985.1164707