The Internet of Audio Things: State of the Art, Vision, and Challenges

The Internet of Audio Things (IoAuT) is an emerging research field positioned at the intersection of the Internet of Things, sound and music computing, artificial intelligence, and human-computer interaction. The IoAuT refers to the networks of computing devices embedded in physical objects (Audio T...

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Bibliographic Details
Published in:IEEE internet of things journal Vol. 7; no. 10; pp. 10233 - 10249
Main Authors: Turchet, Luca, Fazekas, Gyorgy, Lagrange, Mathieu, Ghadikolaei, Hossein S., Fischione, Carlo
Format: Journal Article
Language:English
Published: Piscataway IEEE 01-10-2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:The Internet of Audio Things (IoAuT) is an emerging research field positioned at the intersection of the Internet of Things, sound and music computing, artificial intelligence, and human-computer interaction. The IoAuT refers to the networks of computing devices embedded in physical objects (Audio Things) dedicated to the production, reception, analysis, and understanding of audio in distributed environments. Audio Things, such as nodes of wireless acoustic sensor networks, are connected by an infrastructure that enables multidirectional communication, both locally and remotely. In this article, we first review the state of the art of this field, then we present a vision for the IoAuT and its motivations. In the proposed vision, the IoAuT enables the connection of digital and physical domains by means of appropriate information and communication technologies, fostering novel applications and services based on auditory information. The ecosystems associated with the IoAuT include interoperable devices and services that connect humans and machines to support human-human and human-machines interactions. We discuss the challenges and implications of this field, which lead to future research directions on the topics of privacy, security, design of Audio Things, and methods for the analysis and representation of audio-related information.
ISSN:2327-4662
2372-2541
2327-4662
DOI:10.1109/JIOT.2020.2997047