Speech Visualization Technology and Its Application in English Listening Teaching

被引:0
|
作者
Fang Li-xia [1 ]
机构
[1] Fuyang Normal Univ, Fuyang 236037, Anhui, Peoples R China
关键词
Speech visualization; Locally linear embedding; English listening teaching; Kernel principal component analysis; Dimensionality reduction; KPCA;
D O I
10.1109/ICSGEA.2018.00079
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Effectively analyze and visualize speech signals is of great importance to enhance the quality of English listening teaching, therefore, in this paper, we aim to study on how to utilize the speech visualization technology in English listening teaching. Firstly, we discuss how to design the speech signal process and visualization system, and what features should be extracted from speech signals. Secondly, we exploit the Kernel principal component analysis to conduct dimensionality reduction, and visualize speech signals by computing coordinates of combined features. Thirdly, we introduce the speech visualization technology in English listening teaching, and experimental results demonstrate that listening ability of students can be significantly improved using speech visualization technology.
引用
收藏
页码:291 / 294
页数:4
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