Performance Evaluation of a Voice-Based Depression Assessment System Considering the Number and Type of Input Utterances

It is empirically known that mood changes affect facial expressions and voices. In this study, the authors have focused on the voice to develop a method for estimating depression in individuals from their voices. A short input voice is ideal for applying the proposed method to a wide range of applic...

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Autores principales: Higuchi, Masakazu, Sonota, Noriaki, Nakamura, Mitsuteru, Miyazaki, Kenji, Shinohara, Shuji, Omiya, Yasuhiro, Takano, Takeshi, Mitsuyoshi, Shunji, Tokuno, Shinichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747535/
https://www.ncbi.nlm.nih.gov/pubmed/35009610
http://dx.doi.org/10.3390/s22010067
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author Higuchi, Masakazu
Sonota, Noriaki
Nakamura, Mitsuteru
Miyazaki, Kenji
Shinohara, Shuji
Omiya, Yasuhiro
Takano, Takeshi
Mitsuyoshi, Shunji
Tokuno, Shinichi
author_facet Higuchi, Masakazu
Sonota, Noriaki
Nakamura, Mitsuteru
Miyazaki, Kenji
Shinohara, Shuji
Omiya, Yasuhiro
Takano, Takeshi
Mitsuyoshi, Shunji
Tokuno, Shinichi
author_sort Higuchi, Masakazu
collection PubMed
description It is empirically known that mood changes affect facial expressions and voices. In this study, the authors have focused on the voice to develop a method for estimating depression in individuals from their voices. A short input voice is ideal for applying the proposed method to a wide range of applications. Therefore, we evaluated this method using multiple input utterances while assuming a unit utterance input. The experimental results revealed that depressive states could be estimated with sufficient accuracy using the smallest number of utterances when positive utterances were included in three to four input utterances.
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spelling pubmed-87475352022-01-11 Performance Evaluation of a Voice-Based Depression Assessment System Considering the Number and Type of Input Utterances Higuchi, Masakazu Sonota, Noriaki Nakamura, Mitsuteru Miyazaki, Kenji Shinohara, Shuji Omiya, Yasuhiro Takano, Takeshi Mitsuyoshi, Shunji Tokuno, Shinichi Sensors (Basel) Article It is empirically known that mood changes affect facial expressions and voices. In this study, the authors have focused on the voice to develop a method for estimating depression in individuals from their voices. A short input voice is ideal for applying the proposed method to a wide range of applications. Therefore, we evaluated this method using multiple input utterances while assuming a unit utterance input. The experimental results revealed that depressive states could be estimated with sufficient accuracy using the smallest number of utterances when positive utterances were included in three to four input utterances. MDPI 2021-12-23 /pmc/articles/PMC8747535/ /pubmed/35009610 http://dx.doi.org/10.3390/s22010067 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Higuchi, Masakazu
Sonota, Noriaki
Nakamura, Mitsuteru
Miyazaki, Kenji
Shinohara, Shuji
Omiya, Yasuhiro
Takano, Takeshi
Mitsuyoshi, Shunji
Tokuno, Shinichi
Performance Evaluation of a Voice-Based Depression Assessment System Considering the Number and Type of Input Utterances
title Performance Evaluation of a Voice-Based Depression Assessment System Considering the Number and Type of Input Utterances
title_full Performance Evaluation of a Voice-Based Depression Assessment System Considering the Number and Type of Input Utterances
title_fullStr Performance Evaluation of a Voice-Based Depression Assessment System Considering the Number and Type of Input Utterances
title_full_unstemmed Performance Evaluation of a Voice-Based Depression Assessment System Considering the Number and Type of Input Utterances
title_short Performance Evaluation of a Voice-Based Depression Assessment System Considering the Number and Type of Input Utterances
title_sort performance evaluation of a voice-based depression assessment system considering the number and type of input utterances
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747535/
https://www.ncbi.nlm.nih.gov/pubmed/35009610
http://dx.doi.org/10.3390/s22010067
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