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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/18823

Title: Acoustic features correlated to perceived urgency in evacuation announcements
Authors: Kobayashi, Maori
Hamada, Yasuhiro
Akagi, Masato
Keywords: vocoded speech
evacuation announcement speech
perceived urgency
Issue Date: 2022-03-06
Publisher: Elsevier
Magazine name: Speech Communication
Volume: 139
Start page: 22
End page: 34
DOI: 10.1016/j.specom.2022.03.001
Abstract: To encourage prompt evacuation behavior during disasters, evacuation announcement systems are required to adjust the perceived urgency of announcements to the danger of a situation while maintaining voice clarity. In this study, we aimed to understand acoustic features correlated to the perceived urgency in speech when clarity is maintained. For this purpose, we used a speech synthesis tool to manipulate the key acoustic features: the time duration, F0 (instantaneous fundamental frequency), and spectrum. Specifically, we replaced these features in five real evacuation announcements that were spoken clearly by a TV announcer during an actual disaster and had different magnitudes of urgency. We found quantitatively and qualitatively that the perceived urgency was mostly influenced by the F0 of speech. Furthermore, by manipulating the F0 time average and variation, we compared the influence of the F0's static constant feature and its dynamic fluctuation pattern on the magnitude of perceived urgency. The results indicated that both types of F0 information influenced the magnitude of perceived urgency in real Japanese speech. Our results suggest that the sense of urgency in evacuation announcements can be controlled by adjusting the F0 while maintaining voice clarity.
Rights: Copyright (C)2022, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license (CC BY-NC-ND 4.0). [http://creativecommons.org/licenses/by-nc-nd/4.0/] NOTICE: This is the author's version of a work accepted for publication by Elsevier. Maori Kobayashi, Yasuhiro Hamada, Masato Akagi, Speech Communication 139, 2022, 22-34.
URI: http://hdl.handle.net/10119/18823
Material Type: author
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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