English accent assignment based on morphological rules and machine learning
英文文语转换系统中基于形态规则和机器学习的重音标注算法

Accent assignment of out-of-vocabulary is a very important component besides letter-to-phoneme Conversion in English Text-To-Speech (TTS). Considering that primary accent is much more important and simpler than secondary accent, their assignment was conducted separately. A hybrid algorithm of morphological rules and machine learning was presented to tackle the assignment of primary accent. And a machine learning algorithm was proposed to handle the assignment of secondary accent. After 10-fold cross validation, the average accuracy of primary and secondary accent assignment reached 94.4% and 86.9% respectively, and the total accuracy was 83.6%.