Th ispaper describes the concept of automatic segmentation of continuous speech signal. Thelanguage used forsegmentation is the most widely spoken language i.e. Punjabi. Like all other Indianlanguages, Punjabi is a syllabic language, thus syllables are selected as the basic unit of segmentation. Thetraditional way of representing the speech signal is in termsof features derived from short - time Fourieranalysis. It is difficult to compute the phase and processing the phase function from the FT phase.Byprocessing the derivative of the FT phase, the information in the short - time FT phase function can beextrac ted. This paper describes the process of automatic segmentation of speech using group delaytechnique. This includes segmentation of continuous Punjabi speech into syllable like units by using the highresolution properties of group delay. This group delay function is found to be a better representative of the STEfunction for syllable boundary detection.