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The Voice of the Body: Why AI Should Listen to It and an Archive

The sound generated by body carries important information about our health status physically and psychologically. In the past decades, we have witnessed a plethora of successes achieved in the field of body sound analysis. Nevertheless, the fundamentals of this young field are still not well establi...

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Detalles Bibliográficos
Autores principales: Qian, Kun, Hu, Bin, Yamamoto, Yoshiharu, Schuller, Björn W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076047/
https://www.ncbi.nlm.nih.gov/pubmed/37040282
http://dx.doi.org/10.34133/cbsystems.0005
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author Qian, Kun
Hu, Bin
Yamamoto, Yoshiharu
Schuller, Björn W.
author_facet Qian, Kun
Hu, Bin
Yamamoto, Yoshiharu
Schuller, Björn W.
author_sort Qian, Kun
collection PubMed
description The sound generated by body carries important information about our health status physically and psychologically. In the past decades, we have witnessed a plethora of successes achieved in the field of body sound analysis. Nevertheless, the fundamentals of this young field are still not well established. In particular, publicly accessible databases are rarely developed, which dramatically restrains a sustainable research. To this end, we are launching and continuously calling for participation from the global scientific community to contribute to the Voice of the Body (VoB) archive. We aim to build an open access platform to collect the well-established body sound databases in a well standardized way. Moreover, we hope to organize a series of challenges to promote the development of audio-driven methods for healthcare via the proposed VoB. We believe that VoB can help break the walls between different subjects toward an era of Medicine 4.0 enriched by audio intelligence.
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spelling pubmed-100760472023-04-06 The Voice of the Body: Why AI Should Listen to It and an Archive Qian, Kun Hu, Bin Yamamoto, Yoshiharu Schuller, Björn W. Cyborg Bionic Syst Perspective The sound generated by body carries important information about our health status physically and psychologically. In the past decades, we have witnessed a plethora of successes achieved in the field of body sound analysis. Nevertheless, the fundamentals of this young field are still not well established. In particular, publicly accessible databases are rarely developed, which dramatically restrains a sustainable research. To this end, we are launching and continuously calling for participation from the global scientific community to contribute to the Voice of the Body (VoB) archive. We aim to build an open access platform to collect the well-established body sound databases in a well standardized way. Moreover, we hope to organize a series of challenges to promote the development of audio-driven methods for healthcare via the proposed VoB. We believe that VoB can help break the walls between different subjects toward an era of Medicine 4.0 enriched by audio intelligence. AAAS 2023-01-16 2023 /pmc/articles/PMC10076047/ /pubmed/37040282 http://dx.doi.org/10.34133/cbsystems.0005 Text en Copyright © 2023 Kun Qian et al. https://creativecommons.org/licenses/by/4.0/Exclusive licensee Beijing Institute of Technology Press. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
Qian, Kun
Hu, Bin
Yamamoto, Yoshiharu
Schuller, Björn W.
The Voice of the Body: Why AI Should Listen to It and an Archive
title The Voice of the Body: Why AI Should Listen to It and an Archive
title_full The Voice of the Body: Why AI Should Listen to It and an Archive
title_fullStr The Voice of the Body: Why AI Should Listen to It and an Archive
title_full_unstemmed The Voice of the Body: Why AI Should Listen to It and an Archive
title_short The Voice of the Body: Why AI Should Listen to It and an Archive
title_sort voice of the body: why ai should listen to it and an archive
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076047/
https://www.ncbi.nlm.nih.gov/pubmed/37040282
http://dx.doi.org/10.34133/cbsystems.0005
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