Title :
Frequency-space contractive speech coding
Author :
Alsaka, Y.A. ; Zuniga, R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Central Florida, Orlando, FL, USA
Abstract :
A very efficient speech coding scheme with a compression ratio of up to 120:1 is described. The difference between the fast Fourier transform (FFT) of two consecutive frames of speech is considered to be a two-dimensional image in the frequency domain. Using linear contractive transformation; this image can be reduced to a set of rules and coefficients that could either be transmitted or stored. The speech signal is reconstructed using these coefficients with minimal loss of signal quality. The output speech is superior in quality to that of linear predictive coding (LPC) speech. This algorithm can be applied equally to one-and two-dimensional signals, providing a possible solution for the hypermedia problem
Keywords :
data compression; fast Fourier transforms; frequency-domain analysis; speech coding; FFT; algorithm; coefficients; compression ratio; fast Fourier transform; frequency domain; frequency-space contractive speech coding; hypermedia; linear contractive transformation; one-dimensional signals; output speech; signal quality; speech signal; two-dimensional signals; Bandwidth; Equations; Frequency; Image coding; Image reconstruction; Missiles; Source coding; Speech coding; Speech processing; Vectors;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0805-0
DOI :
10.1109/TFTSA.1992.274160
