  We report investigations into speaker classification of larger quantities of
unlabelled speech data using small sets of manually phonemically annotated
speech. The Kohonen speech typewriter is a semi-supervised method comprised of
self-organising maps (SOMs) that achieves low phoneme error rates. A SOM is a
2D array of cells that learn vector representations of the data based on
neighbourhoods. In this paper, we report a method to evaluate pronunciation
using multilevel SOMs with /hVd/ single syllable utterances for the study of
vowels, for Australian pronunciation.
