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Inferring influence of people's emotions at court on defendant's emotions using a prediction model

People's emotions may be affected by the sound environment in court. A courtroom's sound environment usually consists of the people's voices, such as the judge's voice, the plaintiff's voice, and the defendant's voice. The judge, plaintiff, and defendant usually express...

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Autores principales: Song, Yun, Zhao, Tianyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025348/
https://www.ncbi.nlm.nih.gov/pubmed/36949927
http://dx.doi.org/10.3389/fpsyg.2023.1131724
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author Song, Yun
Zhao, Tianyi
author_facet Song, Yun
Zhao, Tianyi
author_sort Song, Yun
collection PubMed
description People's emotions may be affected by the sound environment in court. A courtroom's sound environment usually consists of the people's voices, such as the judge's voice, the plaintiff's voice, and the defendant's voice. The judge, plaintiff, and defendant usually express their emotions through their voices. Human communication is heavily reliant on emotions. Emotions may also reflect a person's condition. Therefore, People's emotions at the Court must be recognized, especially for vulnerable groups, and the impact of the sound on the defendant's motions and judgment must be inferred. However, people's emotions are difficult to recognize in a courtroom. In addition, as far as we know, no existing study deals with the impact of sound on people in court. Based on sound perception, we develop a deep neural network-based model to infer people's emotions in our previous work. In the proposed model, we use the convolutional neural network and long short-term memory network to obtain features from speech signals and apply a dense neural network to infer people's emotions. Applying the model for emotion prediction based on sound at court, we explore the impact of sound at court on the defendant. Using the voice data collected from fifty trail records, we demonstrate that the voice of the judge can affect the defendant's emotions. Angry, neutrality and fear are the top three emotions of the defendant in court. In particular, the judge's voice expressing anger usually induces fear in the defendant. The plaintiff's angry voice may not have a substantial impact on the defendant's emotions.
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spelling pubmed-100253482023-03-21 Inferring influence of people's emotions at court on defendant's emotions using a prediction model Song, Yun Zhao, Tianyi Front Psychol Psychology People's emotions may be affected by the sound environment in court. A courtroom's sound environment usually consists of the people's voices, such as the judge's voice, the plaintiff's voice, and the defendant's voice. The judge, plaintiff, and defendant usually express their emotions through their voices. Human communication is heavily reliant on emotions. Emotions may also reflect a person's condition. Therefore, People's emotions at the Court must be recognized, especially for vulnerable groups, and the impact of the sound on the defendant's motions and judgment must be inferred. However, people's emotions are difficult to recognize in a courtroom. In addition, as far as we know, no existing study deals with the impact of sound on people in court. Based on sound perception, we develop a deep neural network-based model to infer people's emotions in our previous work. In the proposed model, we use the convolutional neural network and long short-term memory network to obtain features from speech signals and apply a dense neural network to infer people's emotions. Applying the model for emotion prediction based on sound at court, we explore the impact of sound at court on the defendant. Using the voice data collected from fifty trail records, we demonstrate that the voice of the judge can affect the defendant's emotions. Angry, neutrality and fear are the top three emotions of the defendant in court. In particular, the judge's voice expressing anger usually induces fear in the defendant. The plaintiff's angry voice may not have a substantial impact on the defendant's emotions. Frontiers Media S.A. 2023-03-06 /pmc/articles/PMC10025348/ /pubmed/36949927 http://dx.doi.org/10.3389/fpsyg.2023.1131724 Text en Copyright © 2023 Song and Zhao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Song, Yun
Zhao, Tianyi
Inferring influence of people's emotions at court on defendant's emotions using a prediction model
title Inferring influence of people's emotions at court on defendant's emotions using a prediction model
title_full Inferring influence of people's emotions at court on defendant's emotions using a prediction model
title_fullStr Inferring influence of people's emotions at court on defendant's emotions using a prediction model
title_full_unstemmed Inferring influence of people's emotions at court on defendant's emotions using a prediction model
title_short Inferring influence of people's emotions at court on defendant's emotions using a prediction model
title_sort inferring influence of people's emotions at court on defendant's emotions using a prediction model
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025348/
https://www.ncbi.nlm.nih.gov/pubmed/36949927
http://dx.doi.org/10.3389/fpsyg.2023.1131724
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