Introduction to the special issue on machine learning in acoustics
Zoi-Heleni Michalopoulou, Peter Gerstoft, Bożena Kostek, Marie A. Roch
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.
Topics & Concepts
Transformative learningAcousticsUnderwater acousticsRangingPhysical acousticsComputer scienceAcoustic waveGeologyOceanographyPhysicsPsychologyTelecommunicationsUnderwaterPedagogySpeech and Audio ProcessingMusic and Audio ProcessingUnderwater Acoustics Research