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| #!/bin/bash | |
| mode: 'train' | |
| use_cuda: 1 # 1 for True, 0 for False | |
| sampling_rate: 16000 | |
| network: "FRCRN_SE_16K" ##network type | |
| ## FFT Parameters | |
| win_type: hanning | |
| win_len: 640 | |
| win_inc: 320 | |
| fft_len: 640 | |
| # Train | |
| #tr_list: 'datasets/tr_tts_16k_noise_0to10db_p13_p20.lst_dur' | |
| tr_list: 'data/cv_webrtc_test_set_20200521_16k.lst' | |
| cv_list: 'data/cv_webrtc_test_set_20200521_16k.lst' | |
| init_learning_rate: 0.001 #learning rate for a new training | |
| finetune_learning_rate: 0.0001 #learning rate for a finetune training | |
| max_epoch: 100 | |
| weight_decay: 0.00001 | |
| clip_grad_norm: 10. | |
| # Log | |
| seed: 777 | |
| # # dataset | |
| num_workers: 4 | |
| batch_size: 4 | |
| accu_grad: 1 # accumulate multiple batch sizes for one back-propagation updating | |
| effec_batch_size: 12 # per GPU, only used if accu_grad is set to 1, must be multiple times of batch size | |
| max_length: 1 # truncate the utterances in dataloader, in seconds | |