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Convolutional Recurrent Neural Network-Based Event Detection in Tunnels Using Multiple Microphones
This paper proposes a sound event detection (SED) method in tunnels to prevent further uncontrollable accidents. Tunnel accidents are accompanied by crashes and tire skids, which usually produce abnormal sounds. Since the tunnel environment always has a severe level of noise, the detection accuracy...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631336/ https://www.ncbi.nlm.nih.gov/pubmed/31208007 http://dx.doi.org/10.3390/s19122695 |