Generation of Chinese prosodic phrasing rules by an extension matrix algorithm

This paper presents a new rule induction algorithm based on the extension matrix theory, and uses it to learn prosodic phrasing rules automatically for Chinese text-to-speech. Firstly, the basic idea of our algorithm is introduced. Secondly, we collected 937 sentences from news programs and built a corpus for modeling Chinese prosody, a group of feature variables are also proposed. Lastly, the data is divided into two parts: training set and test set, and the experimental results show that our method achieves higher comprehensibility, better accuracy and fewer rules than other algorithms. And the generated rules are quite similar to hand-crafted ones.