Beyond traditional wind farm noise characterisation using transfer learning
This study proposes an approach for the characterisation and assessment of wind farm noise (WFN), which is based on extraction of acoustic features between 125 and 7500 Hz from a pretrained deep learning model (referred to as deep acoustic features). Using data measured at a variety of locations, th...
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| Hlavní autoři: | , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
AIP Publishing LLC
2022-05-01
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| Edice: | JASA Express Letters |
| On-line přístup: | https://pubs.aip.org/asa/jel/article-pdf/doi/10.1121/10.0010494/16557456/052801_1_online.pdf |
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