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Durham Research Online
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An AI-Based Feedback Visualisation System for Speech Training

Wynn, Adam T. and Wang, Jingyun and Umezawa, Kaoru and Cristea, Alexandra I. (2022) 'An AI-Based Feedback Visualisation System for Speech Training.', in Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. Cham: Springer, pp. 510-514. Lecture Notes in Computer Science., 13356

Abstract

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.

Item Type:Book chapter
Full text:Publisher-imposed embargo until 26 July 2023.
(AM) Accepted Manuscript
File format - PDF
(673Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1007/978-3-031-11647-6_104
Publisher statement:The final authenticated version is available online at https://doi.org/10.1007/978-3-031-11647-6_104
Date accepted:No date available
Date deposited:08 August 2022
Date of first online publication:26 July 2022
Date first made open access:26 July 2023

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