An algorithm is presented which allows non parametric representations of speech to be automatically segmented into units of comparable duration and character to manually-defined phonemes. The consistency of this segmentation across speakers, and across telephone channels, is investigated and the implications of adopting such forms of data for automatic speech recognition are discussed.