In this paper, a probability based method is proposed for the annotation of Chinese prosodic levels. We investigated the acoustic correlates (F0 pitches, durations and pauses) of the prosodic boundaries and tried to annotate the levels of the boundaries using Gaussian model and Bayesian decision. The method allows efficient and automatic labeling for the large scale speech corpus and can be used to instruct the unit selection in TTS system.