examples/spectrum_dfnet_aishell/yaml/config.yaml

model_name: "spectrum_unet_irm"

# spec
sample_rate: 8000
n_fft: 512
win_length: 200
hop_length: 80

spec_bins: 256

# model
conv_channels: 64
conv_kernel_size_input:
  - 3
  - 3
conv_kernel_size_inner:
  - 1
  - 3
conv_lookahead: 0

convt_kernel_size_inner:
  - 1
  - 3

embedding_hidden_size: 256
encoder_combine_op: "concat"

encoder_emb_skip_op: "none"
encoder_emb_linear_groups: 16
encoder_emb_hidden_size: 256

encoder_linear_groups: 32

lsnr_max: 30
lsnr_min: -15
norm_tau: 1.

decoder_emb_num_layers: 3
decoder_emb_skip_op: "none"
decoder_emb_linear_groups: 16
decoder_emb_hidden_size: 256

df_decoder_hidden_size: 256
df_num_layers: 2
df_order: 5
df_bins: 96
df_gru_skip: "grouped_linear"
df_decoder_linear_groups: 16
df_pathway_kernel_size_t: 5
df_lookahead: 2

# runtime
use_post_filter: true