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doi.org/10.1016/j.apacoust.2019.07.010
A machine learning approach for traffic-noise annoyance assessment
Luis Bravo-Moncayo
7
,
José Lucio-Naranjo
5
,
...,
Christiam Garzón
5
View all 5 authors
Applied Acoustics
3.60
Volume: 156, Pages: 262 - 270
Published
: Jul 24, 2019
49
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Paper Fields
Pattern recognition (psychology)
Noise reduction
Archaeology
Mathematics
Noise (video)
Image (mathematics)
Support vector machine
Statistics
Machine learning
Annoyance
Artificial intelligence
Geography
Context (archaeology)
Computer science
Traffic noise
Computer vision
Artificial neural network
Loudness
Paper Details
Title
A machine learning approach for traffic-noise annoyance assessment
DOI
doi.org/10.1016/j.apacoust.2019.07.010
Published Date
Jul 24, 2019
Journal
Applied Acoustics
Volume
156
Pages
262 - 270
Notes
History
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