Using Data Mining To Learn The Patterns OfPitch Variation In Chinese Speech
Tingshao Zhu, Wen Gao · WIT transactions on information and communication technologies · 1970
Pitch model is very important in speech synthesis, and it mainly describes the variation of pitch. In order to synthesize speech with high intelligibility and naturalness, a system should be with an appropriate pitch model. We try to find the pitch model from actual speech samples by data mining. A prototype system called SpeechDM has been implemented to extract patterns from two-word phrase of Chinese. Dataset is used for data management, and multi-thread training tasks are controlled by training manager. This paper gives the process firstly, then each step is introduced in detail. Some results and conclusions are given at last.