Cargando…
Attention Based Convolutional Neural Network with Multi-frequency Resolution Feature for Environment Sound Classification
The environmental sound classification has great research significance in the fields of intelligent audio monitoring and other fields. A novel multi-frequency resolution (MFR) feature is proposed in this paper to solve the problem that the existing single frequency resolution time–frequency features...
Autores principales: | Li, Minze, Huang, Wu, Zhang, Tao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589621/ https://www.ncbi.nlm.nih.gov/pubmed/36312843 http://dx.doi.org/10.1007/s11063-022-11041-y |
Ejemplares similares
-
Environmental sound classification using temporal-frequency attention based convolutional neural network
por: Mu, Wenjie, et al.
Publicado: (2021) -
Fast environmental sound classification based on resource adaptive convolutional neural network
por: Fang, Zheng, et al.
Publicado: (2022) -
Multi-view classification with convolutional neural networks
por: Seeland, Marco, et al.
Publicado: (2021) -
A novel 1-D densely connected feature selection convolutional neural network for heart sounds classification
por: Zhou, Xin, et al.
Publicado: (2021) -
Classification of Camellia oleifera Diseases in Complex Environments by Attention and Multi-Dimensional Feature Fusion Neural Network
por: Chen, Yixin, et al.
Publicado: (2023)