An AI-Based Feedback Visualisation System for Speech Training

被引:0
|
作者
Wynn, Adam T. [1 ]
Wang, Jingyun [1 ]
Umezawa, Kaoru [1 ]
Cristea, Alexandra, I [1 ]
机构
[1] Univ Durham, Durham DH1 3LE, England
关键词
CNN; Automatic visualisation feedback; Second language speech training; Emotion recognition; Speech prosody;
D O I
10.1007/978-3-031-11647-6_104
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes providing automatic feedback to support public speech training. For the first time, speech feedback is provided on a visual dashboard including not only the transcription and pitch information, but also emotion information. A method is proposed to perform emotion classification using state-of-the-art convolutional neural networks (CNNs). Moreover, this approach can be used for speech analysis purposes. A case study exploring pitch in Japanese speech is presented in this paper.
引用
收藏
页码:510 / 514
页数:5
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