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Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

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During inference, if I need to test for a track with 3 speakers, do I need to retrain the model? Because from the given checkpoint best.pt, there is a mismatch...

您好,我在8k数据集(即wsj的8k数据集)上测试您的代码,结果非常好能达到-18左右的loss,但是在wsj16k的数据集上,我将超参数的sr改成16k,K=\sqrt( 2 \times sample_rate \times 4)≈360后,loss却只能达到三十多,甚至无法变成负数,请问当数据集要从8k到16k的转变的时候还需要调整什么超参数呢?

想看下大家在整个训练期间loss的变化情况

您好, 麻烦请问一下,感觉这套代码在训练过程中很占显存,想知道您在具体训练的过程中batchsize设置的多大?我目前采用2张2080Ti,batchsize设置成8的情况下,还是会出现显存溢出的情况,这个情况正常吗?期待您的恢复!Thanks! 祝好

你好,我想问一下您有跑过DPRNN在WHAM!数据集上的结果吗? 我看到别人论文里面报道的DPRNN在WHAM!数据集上的性能能接近14db。但是我自己跑的只有11db不到,不清楚是不是数据集的问题。 (参数设置应该没有问题)我用您的代码在WSJ0-2MIX数据集上的结果是正常的性能。希望您能指点一下

Hi, I would like to ask a small question, which one is more appropriate for application in real-time processing, conv-tasnet or DPRNN?

请问如果音频采样率为48k,超参数中除了将L改为96,其他的如N,B,H需要修改吗

作者你好,我在加载音频时,读入的src参数维数不是二维,此问题在加载不同音频时时有时无,请问作者遇到过类似的问题吗,是如何解决的呢?谢谢 ![280b90e5d4ef5ff095301789b3889bb](https://github.com/JusperLee/Dual-Path-RNN-Pytorch/assets/139541059/d6ff5d56-7e73-42f2-948c-810dc846cc4c) Traceback (most recent call last): File "D:\model\Dual-Path-RNN-Pytorch-master\Dual-Path-RNN-Pytorch-master\dualrnn_test_wav.py", line 73, in main() File "D:\model\Dual-Path-RNN-Pytorch-master\Dual-Path-RNN-Pytorch-master\dualrnn_test_wav.py", line 69, in main separation.inference(args.save_path) File "D:\model\Dual-Path-RNN-Pytorch-master\Dual-Path-RNN-Pytorch-master\dualrnn_test_wav.py", line 50, in inference write_wav(filename, s, 16000) File...

您好 想问您两个个有关代码相关的问题 将您的代码放在windows本地运行并把路径设置好后 出现了如下问题: 1:Traceback (most recent call last): File "train_rnn.py", line 91, in train() File "train_rnn.py", line 86, in train trainer = trainer_Dual_RNN.Trainer(train_dataloader, val_dataloader, Dual_Path_RNN, optimizer, scheduler, opt) File...