Abstract：Lexical stress is an important prosodic feature, especially for stress-timed language such as English. To overcome the defects of fixed frame-length features, pitch synchronization feature analysis method was proposed while Pitch Synchronization Energy (PSE) and Pitch Synchronization Peak (PSP) features were defined and extracted. Their contributions, along with traditional features and their combinations, to English lexical stress detection were evaluated with ISLE database. Experimental results show that the combination of new feature and traditional features demonstrates a 6.65% error rate reduction compared with using traditional ones.
陈楠 贺前华 王伟凝 陈荣研. 基音同步帧长特征在英语词重音检测中的应用[J]. 计算机应用, 2008, 28(6): 1533-1536.
Nan CHEN Qian-hua HE Wei-ning WANG Rong-yan CHEN. Application of pitch synchronization dynamic frame-length features in English lexical stress detection. Journal of Computer Applications, 2008, 28(6): 1533-1536.