Parakeet/examples/wavenet/configs/wavenet_softmax.yaml

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534 B
YAML

data:
batch_size: 16
train_clip_seconds: 0.5
sample_rate: 22050
hop_length: 256
win_length: 1024
n_fft: 2048
n_mels: 80
valid_size: 16
model:
upsampling_factors: [16, 16]
n_loop: 10
n_layer: 3
filter_size: 2
residual_channels: 128
loss_type: "softmax"
output_dim: 2048
log_scale_min: -9
train:
learning_rate: 0.001
anneal_rate: 0.5
anneal_interval: 200000
gradient_max_norm: 100.0
checkpoint_interval: 10000
snap_interval: 10000
eval_interval: 10000
max_iterations: 2000000