Study on prosodic boundary location in Chinaese mandarin

In this paper, based on large speech corpus with prosodic structure label (ASCCD), we present some statistic result on acoustic parameter at prosodic boundary. We study the syllable duration, intensity and pitch at the boundary and select a serial acoustic parameter to train a CART. Then the CART was employed to classify the prosodic boundary type. The result shows that the parameter characterize acoustic feature of the prosodic boundary and the trained CART can classify different boundary efficiency. So it is possible to train statistical model for prosodic boundary location in Mandarin, this is very important both for speech recognition and synthesis.