Delete speech-enhancement-deep-filter-net-3-config.ini

speech-enhancement-deep-filter-net-3-config.ini

@@ -1,124 +0,0 @@
-[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