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CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification

Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Bjorn W. Schuller
2020 IEEE transactions on multimedia  
In this article, we focus on training and explaining device-robust CNNs on multi-device acoustic scene data. We propose conditional atrous CNNs with attention for multi-device ASC.  ...  There has been little research on the training of robust neural networks on acoustic scene datasets recorded with multiple devices, and on explaining the operation of the internal layers of the neural  ...  Our proposed conditional training framework, which is based on atrous CNNs with attention, is called Conditional Atrous CNNs with Attention (CAA-Net).  ... 
doi:10.1109/tmm.2020.3037534 fatcat:iccvhvp73velppha3lf4byqu2e

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TMM 2021 611-623 CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification.  ...  ., +, TMM 2021 4117-4130 CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq