SSNR is not as high as in the paper #62
Comments
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Hello, I have the same problem as you have. I only have about 0.5. |
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@YinyanLiu How can I use a pre-trained model? |
你好，我想请教一下你的pesq，csig这些指标是怎么算的，可以指点一下嘛，谢谢 |
你好，这些指标你计算了吗，我刚刚接触语音增强，指标还不太懂怎么计算 |
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Hi baijin,
你好。我记得这篇paper的源代码是可以复现的。我18年复现过，不知道你是怎么找到我联系方式的呢？
至于指标，我刚找了一下代码，见附件。这个代码应该也是我几年前写的，希望能有帮助。
祝好，
Yan
From: zhangbaijin <notifications@github.com>
Reply-To: santi-pdp/segan <reply@reply.github.com>
Date: Monday, January 25, 2021 at 3:06 PM
To: santi-pdp/segan <segan@noreply.github.com>
Cc: YinyanLiu <yinyan.yana.liu@gmail.com>, Mention <mention@noreply.github.com>
Subject: Re: [santi-pdp/segan] SSNR is not as high as in the paper (#62)
Hello,
I have trained the SEGAN by myself and also use the pretrained model.
I got the same metrics value of noisy as in the paper with SSNR=1.68
But when I evaluate the pretrained model, I only got SSNR=0.78, rather than 7.73 in the paper.
I have try different methods to calculate the SSNR and all got the low SSNR.
Anyone have the same issue? or have reappear the metrics in the paper?
你好，我想请教一下你的pesq，csig这些指标是怎么算的，可以指点一下嘛，谢谢
你好，这些指标你计算了吗，我刚刚接触语音增强，指标还不太懂怎么计算
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You are receiving this because you were mentioned.
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非常感谢你的时间哈，我也是在github上看到的，不好意思附件好像没有文件，如果您方便的话可以发到SemiZxf@163.com ,十分感谢^^
…------------------ 原始邮件 ------------------
发件人: "notifications"<notifications@github.com>;
发送时间: 2021年1月25日(星期一) 中午12:15
收件人: "santi-pdp/segan"<segan@noreply.github.com>;
抄送: "张晓峰南京邮电大学"<512631874@qq.com>; "Comment"<comment@noreply.github.com>;
主题: Re: [santi-pdp/segan] SSNR is not as high as in the paper (#62)
Hi baijin,
你好。我记得这篇paper的源代码是可以复现的。我18年复现过，不知道你是怎么找到我联系方式的呢？
至于指标，我刚找了一下代码，见附件。这个代码应该也是我几年前写的，希望能有帮助。
祝好，
Yan
From: zhangbaijin <notifications@github.com>
Reply-To: santi-pdp/segan <reply@reply.github.com>
Date: Monday, January 25, 2021 at 3:06 PM
To: santi-pdp/segan <segan@noreply.github.com>
Cc: YinyanLiu <yinyan.yana.liu@gmail.com>, Mention <mention@noreply.github.com>
Subject: Re: [santi-pdp/segan] SSNR is not as high as in the paper (#62)
Hello,
I have trained the SEGAN by myself and also use the pretrained model.
I got the same metrics value of noisy as in the paper with SSNR=1.68
But when I evaluate the pretrained model, I only got SSNR=0.78, rather than 7.73 in the paper.
I have try different methods to calculate the SSNR and all got the low SSNR.
Anyone have the same issue? or have reappear the metrics in the paper?
你好，我想请教一下你的pesq，csig这些指标是怎么算的，可以指点一下嘛，谢谢
你好，这些指标你计算了吗，我刚刚接触语音增强，指标还不太懂怎么计算
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You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub, or unsubscribe.
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您好，打扰了。segan指标的代码可以也发我一份吗？我因为之前回复过所以看到了你们的邮件记录。谢谢您。
…---Original---
From: "YinyanLiu"<notifications@github.com>
Date: Mon, Jan 25, 2021 12:15 PM
To: "santi-pdp/segan"<segan@noreply.github.com>;
Cc: "Subscribed"<subscribed@noreply.github.com>;
Subject: Re: [santi-pdp/segan] SSNR is not as high as in the paper (#62)
Hi baijin,
你好。我记得这篇paper的源代码是可以复现的。我18年复现过，不知道你是怎么找到我联系方式的呢？
至于指标，我刚找了一下代码，见附件。这个代码应该也是我几年前写的，希望能有帮助。
祝好，
Yan
From: zhangbaijin <notifications@github.com>
Reply-To: santi-pdp/segan <reply@reply.github.com>
Date: Monday, January 25, 2021 at 3:06 PM
To: santi-pdp/segan <segan@noreply.github.com>
Cc: YinyanLiu <yinyan.yana.liu@gmail.com>, Mention <mention@noreply.github.com>
Subject: Re: [santi-pdp/segan] SSNR is not as high as in the paper (#62)
Hello,
I have trained the SEGAN by myself and also use the pretrained model.
I got the same metrics value of noisy as in the paper with SSNR=1.68
But when I evaluate the pretrained model, I only got SSNR=0.78, rather than 7.73 in the paper.
I have try different methods to calculate the SSNR and all got the low SSNR.
Anyone have the same issue? or have reappear the metrics in the paper?
你好，我想请教一下你的pesq，csig这些指标是怎么算的，可以指点一下嘛，谢谢
你好，这些指标你计算了吗，我刚刚接触语音增强，指标还不太懂怎么计算
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You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub, or unsubscribe.
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You are receiving this because you are subscribed to this thread.
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Hello,
I have trained the SEGAN by myself and also use the pretrained model.
I got the same metrics value of noisy as in the paper with SSNR=1.68
But when I evaluate the pretrained model, I only got SSNR=0.78, rather than 7.73 in the paper.
I have try different methods to calculate the SSNR and all got the low SSNR.
Anyone have the same issue? or have reappear the metrics in the paper?
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