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model_name: "fsmn_vad"
# spec
sample_rate: 8000
nfft: 512
win_size: 240
hop_size: 80
win_type: hann
# model
fsmn_input_size: 257
fsmn_input_affine_size: 140
fsmn_hidden_size: 250
fsmn_basic_block_layers: 4
fsmn_basic_block_hidden_size: 128
fsmn_basic_block_lorder: 20
fsmn_basic_block_rorder: 0
fsmn_basic_block_lstride: 1
fsmn_basic_block_rstride: 0
fsmn_output_affine_size: 140
fsmn_output_size: 2
# lsnr
n_frame: 3
min_local_snr_db: -15
max_local_snr_db: 30
norm_tau: 1.
# data
min_snr_db: -10
max_snr_db: 20
# train
lr: 0.001
lr_scheduler: "CosineAnnealingLR"
lr_scheduler_kwargs:
T_max: 250000
eta_min: 0.0001
max_epochs: 100
clip_grad_norm: 10.0
seed: 1234
num_workers: 4
batch_size: 128
eval_steps: 25000
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