Open AccessA deep learning method for grid-free localization and quantification of sound sources
Author(s) -
Adam Kujawski,
Gert Herold,
Ennes Sarradj
Publication year - 2019
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.5126020
Subject(s) - computer science , beamforming , microphone array , grid , position (finance) , residual , microphone , artificial intelligence , artificial neural network , pattern recognition (psychology) , deep learning , task (project management) , point (geometry) , computer vision , acoustics , algorithm , geology , telecommunications , mathematics , physics , geometry , management , geodesy , sound pressure , finance , economics
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