Machine learning in acoustics: Theory and applications

Machine learning in acoustics: Theory and applications

Acoustic data provide scientific and engineering insights in fields ranging from biology and communications to ocean and Earth science. We survey the recent advances and transformative potential of machine learning (ML), including deep learning, in the field of acoustics. ML is a broad family of tec...

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Bibliographic Details
Main Authors: Bianco, M.J (Author), Deledalle, C.-A (Author), Gannot, S. (Author), Gerstoft, P. (Author), Ozanich, E. (Author), Roch, M.A (Author), Traer, J. (Author)
Format: Article
Language:English
Published: Acoustical Society of America 2019
Subjects:
Acoustic data
Acoustic fields
article
Complex relationships
deep learning
Deep learning
Environmental sounds
geology
human
human experiment
Human speech
Large volumes
Machine learning
Ocean acoustics
sea
signal processing
Signal processing
sound
Source localization
speech
Speech processing
Training data
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