Comments (1)
float values between [-1, 1]. if you started with scipy which loads to int, you will norm audio between [-1,1]
from dual-path-rnn-pytorch.
Related Issues (20)
- error when training 3-mix HOT 1
- dual_path_test_wav的输出采样应该是写错了 HOT 1
- 关于fine-tune HOT 1
- 计算 loss -SI-SNR HOT 5
- DPRNN batch size HOT 6
- Output normalization in dualrnn_test_wav.py HOT 4
- 关于运行train_rnn.py的问题 HOT 1
- about train_rnn.py HOT 1
- 48K音频超参数设置 HOT 1
- train_rnn.py error in make_dataloader(opt) HOT 2
- 关于使用预训练模型的报错 HOT 2
- real time processing HOT 1
- 关于显存问题 HOT 1
- DPRNN in WHAM! HOT 2
- 获取WSJ0数据集
- loss变化趋势 HOT 2
- 关于16k数据集的问题 HOT 2
- CUDA相关问题 HOT 1
- 关于音频读入的问题 HOT 3
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from dual-path-rnn-pytorch.