This paper deals with the improvement of autosegmentation algorithms by establishing and implementing a simple energy model. This model consists of rules which describe the variation of the phoneme energy at the phoneme boundaries due to the phoneme context. The efficient estimation of phoneme boundaries results to the improvement of the accuracy of phoneme-based, large vocabulary speech recognition systems, as proven from experiments in the Greek language.