Comments (5)
Chen1399
commented on September 20, 2024
我现在用的是mixloss，一个epoch，幅度损失在12左右，相位损失幅度相当大，180-40不等吧
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huyanxin
commented on September 20, 2024
上次训应该是半年多前了。。有点记不得了。。你可以这样，看下oracle的irm或者cirm在这批数据上的sisnr（我记得我有加这个metric），然后可以估计一下，我之前在用WSJ0训的模型好像cv集的sisnr在17db左右，当然你还要考虑一个问题，就是aishell-1本身数据比较脏，所以学出来可能会有一定的偏差
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Chen1399
commented on September 20, 2024
我觉得aishell还挺干净的,我的SiSNR差不多13左右,但效果还是不太好.我再试试其他数据集吧.
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Wangzhen-kris
commented on September 20, 2024
我觉得aishell还挺干净的,我的SiSNR差不多13左右,但效果还是不太好.我再试试其他数据集吧.
你好，请问您最后换了其他数据集测试了嘛？最后的效果怎么样？
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Chen1399
commented on September 20, 2024
我觉得aishell还挺干净的,我的SiSNR差不多13左右,但效果还是不太好.我再试试其他数据集吧.
你好，请问您最后换了其他数据集测试了嘛？最后的效果怎么样？
降噪最好还是用wsj数据集
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Related Issues (13)
- How training with cpu HOT 2
- How to use tensorflow to conv_stft? HOT 1
- Fix Nan loss HOT 2
- Fix an error HOT 1
- GRU shoule be set as batch_first=True? HOT 1
- time_dataset.py error HOT 5
- How to preprocess the data?
- Mixloss 出现 nan HOT 7
- 音频连接处有哒哒的声音或者消音的情况 HOT 3
- Loss does not decrease HOT 1
- test_fft() in ConvSTFT.py can't calculate correctly
- 请问会提供训练好的模型吗？
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