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Piecewise Self-Affine Fractal Modelling of Linear Prediction Excitations in Speech Compression

E. Vera, W. Kinsner
1996 Canadian Conference on Electrical and Computer Engineering (CCECE'96), University of Calgary, Calgary AB, Vol. II, Session 36.6, pp. 712-715, May 26-29, 1996

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.

CONTACTS: Epiphany Vera, Witold Kinsner
SUBJECTS: Signal Processing
TYPE: Conference Publication
PUBLISHED: 1996

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