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身体的声音:为何人工智能应倾听它以及一份档案。

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

作者信息

Qian Kun, Hu Bin, Yamamoto Yoshiharu, Schuller Björn W

机构信息

School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.

Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo 113-0033, Japan.

出版信息

Cyborg Bionic Syst. 2023;4:0005. doi: 10.34133/cbsystems.0005. Epub 2023 Jan 16.

Abstract

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.

摘要

身体发出的声音承载着有关我们身心健康状况的重要信息。在过去几十年里,我们见证了身体声音分析领域取得的诸多成功。然而,这个年轻领域的基础仍未完全确立。特别是,公开可用的数据库很少被开发,这极大地限制了可持续研究。为此,我们正在启动并持续呼吁全球科学界参与,为“身体之声(VoB)”存档做出贡献。我们旨在建立一个开放获取平台,以标准化的方式收集完善的身体声音数据库。此外,我们希望通过提议的VoB组织一系列挑战,以促进音频驱动的医疗保健方法发展。我们相信,VoB有助于打破不同学科之间的壁垒,迈向一个由音频智能丰富的医学4.0时代。

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