Piecewise self-affine fractal modelling of linear prediction excitations in speech compression

Author

Vera, E. ; Kinsner, W.

Author_Institution

Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada

Volume

2

fYear

1996

fDate

26-29 May 1996

Firstpage

712

Abstract

A technique for modelling speech excitations using fractal interpolation is presented. The fractal interpolation techniques used are based on iterated function systems (IFS). Two iterated function system models are used: the self-affine model and the piecewise self-affine model. The self-affine model is found to be inefficient for the purpose of representing excitations. The piecewise self-affine model is found to give a better model for the speech excitations. A low bit-rate speech coder is implemented using the piecewise self-affine fractal model

Keywords

data compression; fractals; interpolation; iterative methods; linear predictive coding; speech coding; speech processing; vocoders; fractal interpolation; iterated function systems; linear prediction excitations; low bit-rate speech coder; piecewise self-affine fractal modelling; piecewise self-affine model; self-affine model; speech coding; speech compression; speech excitations; speech representation; Acoustic noise; Codecs; Fractals; GSM; Interpolation; Predictive models; Pulse modulation; Signal synthesis; Speech coding; Speech synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1996. Canadian Conference on

Conference_Location

Calgary, Alta.

ISSN

0840-7789

Print_ISBN

0-7803-3143-5

Type

conf

DOI

10.1109/CCECE.1996.548252

Filename

548252