Code-switching Speech Detection Method by Combination of Language and Acoustic Information

摘要：

　　In this paper,we propose a new speech detection method to English-Mandarin code-switching speech.Unlike previous methods,in this method we first train s support vector machine (SVM) model based on feature parameters and Gaussian Mixture Model (GMM),then integrate the language identification (LID) information based on SVM model and acoustic information into the decoding process.Lastly,we develop a prototype system to present the method.Experiments proved that our method we can improve the accurancy of code-switching speech recognition at a certain degree compared with previous methods.

关键词： code-switching speech acoustic model language identification support vector machine

作者: Hongji Zhang

作者单位: School of Computer Science and Technology, Beihang University Beijing, 100191,China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 372-375

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）