Open AccessInvestigating urban soundscapes of the COVID-19 lockdown: A predictive soundscape modeling approach
Author(s) -
Andrew Mitchell,
Tin Oberman,
Francesco Aletta,
Magdalena Kachlicka,
Matteo Lionello,
Mercede Erfanian,
Jian Kang
Publication year - 2021
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 - 10.1121/10.0008928
Subject(s) - soundscape , binaural recording , perception , active listening , natural sounds , natural (archaeology) , sound (geography) , predictive modelling , computer science , geography , psychology , acoustics , speech recognition , communication , machine learning , physics , archaeology , neuroscience
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