Title :
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
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;
Conference_Titel :
Electrical and Computer Engineering, 1996. Canadian Conference on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-3143-5
DOI :
10.1109/CCECE.1996.548252
