Putonghua prosodic word pitch model based on HMM

This article proposed a novel statistical Putonghua-prosodic-word pitch model based on Hidden Markov Model (HMM). It reflects the relationship between prosodic environment and pitch parameters. With the model not only can we estimate the relationship between a section of text and a section of pitch contour, but generate the corresponding pitch from the text. Based on HMM, our method takes all the advantages of HMM theory. At the same time, to reflect the tone-changing phenomenon in continuous speech, we use prosodic word as model unit. At last, we present the results of experiments on our models and future expansion is explored.