文献类型：期刊文献

英文题名：An Accent Marking Algorithm of English Conversion System Based on Morphological Rules

作者：Zhao, Yanxia[1];Ren, Wei[2];Li, Zheng[3]

第一作者：Zhao, Yanxia

通讯作者：Li, Z[1]

机构：[1]Zhejiang Business Coll, Sch Int Studies, Hangzhou, Peoples R China;[2]Zhejiang Business Coll, Sch E Commerce, Hangzhou, Peoples R China;[3]Beijing Union Univ, Coll Appl Sci & Technol, Beijing, Peoples R China

第一机构：Zhejiang Business Coll, Sch Int Studies, Hangzhou, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Appl Sci & Technol, Beijing, Peoples R China.|[1141775]北京联合大学应用科技学院;[11417]北京联合大学;

年份：2021

卷号：16

期号：1

起止页码：234-246

外文期刊名：INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING

收录：EI(收录号：20210509874512);Scopus(收录号：2-s2.0-85100189577);WOS:【ESCI(收录号:WOS:000607917200015)】；

基金：This article is the research result of the project funded by Department of Education of Zhejiang Province (No. Y201942517).

语种：英文

外文关键词：Morphological rules; English conversion system; maximum entropy model; audio classification; accent marking

摘要：Facing the English conversion system, the existing accent marking algorithms cannot acquire the morphological rules of English, making the accent marking inaccurate, inefficient, and time-consuming. To solve these problems, this paper puts forward an accent marking algorithm of English conversion system based on morphological rules. Specifically, the English audios in a self-developed English corpus were classified by the speaker classification software based on hidden Markov model, as well as audio classification technology, producing the morphological rules of English. After that, the English accents were marked by the maximum entropy model in the English conversion system. The proposed method was proved accurate and efficient in accent marking through experiments. The research results provide a good reference for marking the accents in English conversion system.