The identification of aspects of cepstral features that contain a high degree of speaker specificity potentially can simplify the task of speaker recognition. The identification process can be performed both temporally and cepstrally. The temporal analysis determines which phonemes or utterances exhibit the highest degree of speaker specificity, while the cepstral analysis examines individual cepstra within these temporal divisions. This paper aims to compliment work that has already been conducted in the temporal domain, by performing analysis upon the individual cepstral coefficients within phonetic subgroups. 1 Introduction In recent work on speaker recognition, it has been found by Eatock , van den Heuvel  and Bonastre  that certain phonemes contain more speaker specific information than others. The difference of the speaker specificity between phonemes varies noticeably between the different subgroups, but remains more constant within the subgroup. Therefore classificati..
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