The use of fractal techniques and fractal dimensions as a means of speech
characterisation and speech recognition is a relatively new concept and as such very
few papers have addressed the possibilities of its use and associated advantages and
disadvantages over conventional methods.
This thesis demonstrates that fractal techniques can effectively be used as a method of
broad recognition of phonetic elements in human speech. Three distinct fractal
methods have been used to associate fractal dimensions with speech: the Box
Counting method, the Divider or Richardson method and the Minkowski-Bouligand
Speech has been recorded by myself and another male and female speaker to provide a
database of phonetic recordings that could be experimented on. The three fractal
techniques were emulated by means of software programs written in a high level
A Master's Thesis. Submitted in partial fulfilment of the requirements for the award of Master of Philosophy at Loughborough University.