| sample_rate: 16000 | |
| n_fft: 510 | |
| hop_length: 128 | |
| window_type: hann | |
| transform_type: exponent | |
| spec_factor: 0.15 | |
| spec_abs_exponent: 0.5 | |
| sampling: | |
| sampler_type: pc | |
| predictor: reverse_diffusion | |
| corrector: ald | |
| N: 30 | |
| corrector_steps: 1 | |
| snr: 0.5 | |
| modules: | |
| score_model: !new:speechbrain.integrations.models.sgmse_plus.ScoreModel | |
| backbone: ncsnpp_v2 | |
| sde: ouve | |
| theta: 1.5 | |
| sigma_min: 0.05 | |
| sigma_max: 0.5 | |
| lr: 0.0001 | |
| ema_decay: 0.999 | |
| t_eps: 0.03 | |
| num_eval_files: 5 | |
| loss_type: score_matching | |
| loss_weighting: sigma^2 | |
| network_scaling: 1/t | |
| c_in: '1' | |
| c_out: '1' | |
| c_skip: '0' | |
| sigma_data: 0.1 | |
| l1_weight: 0.001 | |
| pesq_weight: 0.0 | |
| N: 30 | |
| corrector_steps: 1 | |
| sampler_type: pc | |
| snr: 0.5 | |
| sr: 16000 | |
| pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer | |
| loadables: | |
| score_model_ema: !ref <modules[score_model]> | |