Research on predicting prosodic parameters for Chinese synthesis by data mining approach

• 来源期刊: 声学学报（英文版）
• 学科: 物理学
• 年，卷（期）: 2003,（2）
• 页码范围: 184-192
• 页数: 9页
• 分类号: O42
• 语种: 英文

摘要

Prosodic control is an important part of speech synthesis system. Prosodic pa-rameters choice right or wrong influences the quality of synthetic speech directly. At present,text to speech system has less effective describe to reflect data relationships in the corpus. Anew research approach - data mining technology to discover those relationships by associationrules modeling is presented. And a new algorithm for generating association rules of prosodicparameters including pitch parameters and duration parameters from corpus is developed. Theoutput rules improve the correctness of syllable choice in text to speech system.