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|
{
"dataset": {
"features": [
"f0",
"mfcc"
],
"input_glob": "./data/mat-holly-24000/feat/mat/voice_*.npy",
"input_global_noise": 0.01,
"input_local_noise": 0.01,
"input_mean_path": "./data/mat-holly-24000/feat/mat/mean.npy",
"input_var_path": "./data/mat-holly-24000/feat/mat/var.npy",
"num_test": 1,
"seed": 0,
"target_glob": "./data/mat-holly-24000/feat/holly/voice_*.npy",
"target_global_noise": 0.01,
"target_local_noise": 0.01,
"target_mean_path": "./data/mat-holly-24000/feat/holly/mean.npy",
"target_var_path": "./data/mat-holly-24000/feat/holly/var.npy",
"train_crop_size": 512
},
"loss": {
"adversarial": 1,
"mse": 100
},
"model": {
"in_channels": 10,
"out_channels": 10,
"generator_base_channels": 64,
"generator_extensive_layers": 8,
"discriminator_base_channels": 32,
"discriminator_extensive_layers": 5,
"weak_discriminator": false
},
"project": {
"name": "mat-holly-24000",
"tags": []
},
"train": {
"batchsize": 8,
"gpu": -1,
"log_iteration": 250,
"snapshot_iteration": 5000
}
}
|
