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