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| model_name: "rnnoise" | |
| # spec | |
| sample_rate: 8000 | |
| segment_size: 32000 | |
| nfft: 160 | |
| win_size: 160 | |
| hop_size: 80 | |
| win_type: hann | |
| erb_bins: 32 | |
| min_freq_bins_for_erb: 2 | |
| # model | |
| conv_size: 256 | |
| gru_size: 256 | |
| # data | |
| max_snr_db: 20 | |
| min_snr_db: -10 | |
| # 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 | |
| batch_size: 64 | |
| num_workers: 4 | |
| eval_steps: 15000 | |