Introduction to the special issue on machine learning in acoustics

Authors

Zoi Heleni Michalopoulou, New Jersey Institute of Technology
Peter Gerstoft, Scripps Institution of Oceanography
Bozena Kostek, Gdańsk University of Technology
Marie A. Roch, Department of Computer Science

Document Type

Article

Publication Date

10-1-2021

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.

Identifier

85118752666 (Scopus)

Publication Title

Journal of the Acoustical Society of America

External Full Text Location

https://doi.org/10.1121/10.0006783

e-ISSN

15208524

ISSN

00014966

PubMed ID

34717489

First Page

3204

Last Page

3210

Issue

4

Volume

150

Recommended Citation

Michalopoulou, Zoi Heleni; Gerstoft, Peter; Kostek, Bozena; and Roch, Marie A., "Introduction to the special issue on machine learning in acoustics" (2021). Faculty Publications. 3792.
https://digitalcommons.njit.edu/fac_pubs/3792