| [train] |
| seed = 43 |
| device = |
| model = deepfilternet3 |
| jit = false |
| mask_only = false |
| df_only = false |
| batch_size = 64 |
| batch_size_eval = 64 |
| num_workers = 16 |
| max_sample_len_s = 3.0 |
| p_atten_lim = 0.0 |
| overfit = false |
| max_epochs = 120 |
| log_freq = 100 |
| log_timings = True |
| validation_criteria = loss |
| validation_criteria_rule = min |
| early_stopping_patience = 25 |
| global_ds_sampling_f = 1 |
| num_prefetch_batches = 8 |
| dataloader_snrs = -100,-5,0,5,10,20,40 |
| detect_anomaly = false |
| batch_size_scheduling = 0/16,2/24,5/32,10/64,20/128,40/9999 |
| start_eval = false |
| validation_set_caching = false |
| cp_blacklist = |
|
|
| [distortion] |
| p_reverb = 0.1 |
| p_bandwidth_ext = 0.0 |
| p_clipping = 0.0 |
| p_air_absorption = 0.0 |
| p_zeroing = 0.0 |
| p_interfer_sp = 0.0 |
|
|
| [df] |
| sr = 48000 |
| fft_size = 960 |
| hop_size = 480 |
| nb_erb = 32 |
| nb_df = 96 |
| norm_tau = 1 |
| lsnr_max = 35 |
| lsnr_min = -15 |
| min_nb_erb_freqs = 2 |
| pad_mode = output |
| df_order = 5 |
| df_lookahead = 2 |
|
|
| [deepfilternet] |
| conv_lookahead = 2 |
| conv_ch = 64 |
| conv_depthwise = True |
| emb_hidden_dim = 256 |
| emb_num_layers = 3 |
| enc_linear_groups = 32 |
| linear_groups = 16 |
| conv_dec_mode = transposed |
| convt_depthwise = False |
| mask_pf = False |
| df_hidden_dim = 256 |
| df_num_layers = 2 |
| dfop_method = df |
| group_shuffle = False |
| conv_kernel = 1,3 |
| df_gru_skip = groupedlinear |
| df_pathway_kernel_size_t = 5 |
| enc_concat = False |
| conv_kernel_inp = 3,3 |
| emb_gru_skip = none |
| df_n_iter = 1 |
| convt_kernel = 1,3 |
| lsnr_dropout = False |
|
|
| [localsnrloss] |
| factor = 1e-3 |
|
|
| [maskloss] |
| factor = 0 |
| mask = spec |
| gamma = 0.3 |
| gamma_pred = 0.3 |
| f_under = 1 |
|
|
| [spectralloss] |
| factor_magnitude = 0 |
| factor_complex = 0 |
| gamma = 0.3 |
| factor_under = 1 |
|
|
| [dfalphaloss] |
| factor = 0.0 |
|
|
| [multiresspecloss] |
| factor = 500 |
| factor_complex = 500 |
| gamma = 0.3 |
| fft_sizes = 256,512,1024,2048 |
|
|
| [optim] |
| lr = 0.001 |
| momentum = 0 |
| weight_decay = 1e-12 |
| weight_decay_end = 0.01 |
| optimizer = adamw |
| lr_min = 1e-06 |
| lr_warmup = 0.0001 |
| warmup_epochs = 3 |
| lr_cycle_mul = 1.0 |
| lr_cycle_decay = 0.5 |
| lr_cycle_limit = 1 |
| lr_update_per_epoch = False |
| lr_cycle_epochs = -1 |
|
|
| [sdrloss] |
| factor = 0.0 |
| segmental_ws = 0 |
|
|
| [asrloss] |
| factor = 0 |
| factor_lm = 0 |
| loss_lm = CrossEntropy |
| model = base.en |
|
|
