By identifying highly speaker specific aspects of cepstral features, the task of speaker recognition can be potentially simplified. The identification process can be performed both phonetically and in the cepstral domain. The phonetic analysis aims to determine the temporal aspects of utterances which exhibit the highest degree of speaker specificity, while the cepstral analysis examines individual cepstra within these temporal divisions. This paper aims to complement work that has already been conducted on a phonetic basis, by performing analysis upon the individual cepstral coefficients within utterances.