This paper shows that the addition of segmental acoustic information can be beneficial to the recognition of prosodic events in English speech. It builds on previous work from Campbell '92 [2] that used measures of segmental duration and energy to detect stress and focus. The present study shows that an increase in detection rate can be gained by incorporation of spectral tilt information and determines the degree to which automatic segmentation and acoustic extraction can be used to detect prominences.