Synthetic data generation techniques for training deep acoustic siren identification networks
Acoustic sensing has been widely exploited for the early detection of harmful situations in urban environments: in particular, several siren identification algorithms based on deep neural networks have been developed and have proven robust to the noisy and non-stationary urban acoustic scene. Althou...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2024-07-01
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| coleção: | Frontiers in Signal Processing |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/frsip.2024.1358532/full |
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