Title :
A parametrically controlled spectral analysis system for speech
Author :
Silverman, Harvey F. ; Dixon, N. Rex
Author_Institution :
IBM Thomas J. Watson Research Center, Yorktown Heights, N.Y.
fDate :
10/1/1974 12:00:00 AM
Abstract :
The parametrically controlled analyzer (PCA) is a large PL/I program which has been designed to perform spectral analysis of speech signals. PCA features parametric selection of several analysis methods, including discrete Fourier transformation and linear predictive coding. Also, selection may be made among various smoothing, normalization, and interpolation methods. PCA develops high-quality spectrographic representations of speech for standard line printers and CRT displays. The PCA is described and numerous examples of various parameter settings are presented and discussed.
Keywords :
Control systems; Interpolation; Linear predictive coding; Performance analysis; Principal component analysis; Signal analysis; Signal design; Smoothing methods; Spectral analysis; Speech analysis;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1974.1162599