Research Article
Application of Generative Adversarial Nets (GANs) in Active Sound Production System of Electric Automobiles
Table 1
Generator structure of the raw audio GAN model.
| Layer | Type | Length and width of convolution kernels | Number of convolution kernels |
| Input layer | — | — | — | Fully connected layer | Fully connected layer | 1∗100 | 16384 | ReLU | Activation layer | — | — | Conv1D (stride = 4) | Convolutional layer | 1∗25 | 512 | ReLU | Activation layer | 1∗25 | | Conv1D (stride = 4) | Convolutional layer | 1∗25 | 256 | ReLU | Activation layer | — | — | Conv1D (stride = 4) | Convolutional layer | 1∗25 | 128 | ReLU | Activation layer | — | — | Conv1D (stride = 4) | Convolutional layer | 1∗25 | 64 | ReLU | Activation layer | — | — | Conv1D (stride = 4) | Convolutional layer | 1∗25 | 1 | ReLU | Activation layer | — | — |
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