Introduction to the special issue on machine learning in acoustics

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

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


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 languageEnglish (US)
Pages (from-to)3204-3210
Number of pages7
JournalJournal of the Acoustical Society of America
Issue number4
StatePublished - Oct 1 2021

All Science Journal Classification (ASJC) codes

  • Arts and Humanities (miscellaneous)
  • Acoustics and Ultrasonics


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