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]>