Introduction to the special issue on machine learning in acoustics

Zoi Heleni Michalopoulou; Peter Gerstoft; Bozena Kostek; Marie A. Roch

doi:10.1121/10.0006783

Introduction to the special issue on machine learning in acoustics

Zoi Heleni Michalopoulou, Peter Gerstoft, Bozena Kostek, Marie A. Roch

Mathematical Sciences

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

The use of machine learning (ML) in acoustics has received much attention in the last decade. ML is unique in that it can be applied to all areas of acoustics. ML has transformative potentials as it can extract statistically based new information about events observed in acoustic data. Acoustic data provide scientific and engineering insight ranging from biology and communications to ocean and Earth science. This special issue included 61 papers, illustrating the very diverse applications of ML in acoustics.

Original language	English (US)
Pages (from-to)	3204-3210
Number of pages	7
Journal	Journal of the Acoustical Society of America
Volume	150
Issue number	4
DOIs	https://doi.org/10.1121/10.0006783
State	Published - Oct 1 2021

All Science Journal Classification (ASJC) codes

Arts and Humanities (miscellaneous)
Acoustics and Ultrasonics

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10.1121/10.0006783

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Introduction to the special issue on machine learning in acoustics

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