Mandarin pitch accent prediction using hierarchical model based ensemble machine learning

In this study, we combine the Mandarin characteristics with Mandarin acoustic attribute and text information and use hierarchical model based ensemble machine learning to predict Mandarin pitch accent. Our model could make the best of advantages of prosody hierarchical structure and ensemble machine learning. When comparing our model with classification and regression tree (CART), support vector machine (SVM), adaboost with CART at different experimental conditions, the hierarchical model obtains the best results, it can achieve 84.75% accuracy rate to Mandarin read speech. At the same time, we compare our proposed method with previous proposed method at the same training set and test set. There are 2.25% and 0.82% absolute accuracy rate improvements.