TaylorSENet
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IN的track_running_state是否应该设置为True
因为默认是False,是不是应该手动设置一下True
因为默认是False,是不是应该手动设置一下True
Yes, and IN will use the utterance-level statistics (mean, var) by default. Here we set it as False so the system is actually not a strict causal SE and you can switch it into True or use other norms (iLN, cLN, BN) to guarantee the causality and we have tested them, and cLN is highly suggested as the performance is relatively better than iLN and BN.
您好,我在模型中把IN的track_running_state设为了True,在推理时尝试了两种方式
1.model.eval() with torch.no_grad()
Average WB-PESQ: 2.190 Average NB-PESQ: 2.903 Average STOI: 91.167 Average SISNR: 12.363
2.仅用了with torch.no_grad()
Average WB-PESQ: 2.837 Average NB-PESQ: 3.336 Average STOI: 96.108 Average SISNR: 16.751
第二种方式的结果比第一种好了很多,这是不是因为第二种计算方式是非因果的?
因为默认是False,是不是应该手动设置一下True
您好,我想问一下,您在调试的时候使用的数据集是从 DNS-challenge官网上下载的嘛?