We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
祝贺您的论文被接受并且很感谢您更新了程序,我发现您在新上传的程序中同时使用了期刊论文的一致性loss和会议论文的time loss,您能说明下这么做的原因吗
The text was updated successfully, but these errors were encountered:
啊我的论文还没被接收只是前几天有人问我要了 DNS 数据集上的 ckpt,我就想着把代码更新了算了;
time loss 和一致性损失是不冲突的,去掉 time loss 之前会牺牲一点 SNR 相关的指标但能提升 PESQ,所以看自己的需求,加不加 time loss 主观听感上差距不大。
Sorry, something went wrong.
请问,为什么幅度loss的系数是0.9,相位loss的系数是0.3,感觉是相位才是比较难训练的吧,还有PESQ的系数0.05是不是太低了?
No branches or pull requests
祝贺您的论文被接受并且很感谢您更新了程序,我发现您在新上传的程序中同时使用了期刊论文的一致性loss和会议论文的time loss,您能说明下这么做的原因吗
The text was updated successfully, but these errors were encountered: