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

Volume

2

fYear

1996

fDate

12-15 May 1996

Firstpage

316

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISCAS.1996.541710

Filename

541710