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| model_name: "conv_tasnet" | |
| sample_rate: 8000 | |
| segment_size: 4 | |
| win_size: 20 | |
| freq_bins: 256 | |
| bottleneck_channels: 256 | |
| num_speakers: 1 | |
| num_blocks: 4 | |
| num_sub_blocks: 8 | |
| sub_blocks_channels: 512 | |
| sub_blocks_kernel_size: 3 | |
| norm_type: "gLN" | |
| causal: false | |
| mask_nonlinear: "relu" | |
| min_snr_db: -10 | |
| max_snr_db: 20 | |
| lr: 0.005 | |
| lr_scheduler: "CosineAnnealingLR" | |
| lr_scheduler_kwargs: | |
| T_max: 250000 | |
| eta_min: 0.00005 | |
| eval_steps: 25000 | |