examples/nx_mpnet/yaml/config.yaml

model_name: "nx_denoise"

sample_rate: 8000
segment_size: 16000
n_fft: 512
win_size: 200
hop_size: 80

dense_num_blocks: 4
dense_hidden_size: 64

mask_num_blocks: 4
mask_hidden_size: 64

phase_num_blocks: 4
phase_hidden_size: 64

tsfm_hidden_size: 128
tsfm_attention_heads: 8
tsfm_num_blocks: 6
tsfm_dropout_rate: 0.0
tsfm_max_time_relative_position: 2048
tsfm_max_freq_relative_position: 256
tsfm_chunk_size: 1
tsfm_num_left_chunks: 64
tsfm_num_right_chunks: 32

discriminator_dim: 32
discriminator_in_channel: 2

compress_factor: 0.3

batch_size: 4
learning_rate: 0.0005
adam_b1: 0.8
adam_b2: 0.99
lr_decay: 0.99
seed: 1234