Title :
Speech coding using a method of discrete energy separation (DESA)
Author :
Whitman, Robert K. ; Etter, Delores M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
Abstract :
The use of the Discrete Energy Separation Algorithm (DESA), developed by Kaiser, Quatieri, and Maragos (1993) to code speech signals is investigated. We show that the DESA-demodulated signals can be coded and decoded using a combination of polynomial and sinusoidal approximations. We discuss how the data is subband filtered. Then how each subband is processed to encode and decode the data. A brief discussion is given of the quality of the reconstructed or synthesized speech output
Keywords :
approximation theory; decoding; demodulation; polynomials; speech coding; speech synthesis; time-domain analysis; time-domain synthesis; DESA-demodulated signals; MATLAB implementation; decoding; discrete energy separation; polynomial approximations; reconstructed speech output; sinusoidal approximations; speech coding; subband filtering; synthesized speech output; Band pass filters; Decoding; Frequency; Gabor filters; Polynomials; Power engineering and energy; Signal processing; Signal synthesis; Speech coding; Speech synthesis;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.541710
