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a easy problem #8
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Hi @KarsonYu, I am not sure about your question. Could you give me more information about the equations you mentioned? (like which equation in which paper) |
It is the denominator in the algorithm 1 - training,the way you use to compute the gradient descent. |
I get it!But now I have another question.How to deduce Eq.15? |
Actually I can't understand almost all Eqs in Section3.3,do you have the detailed derivation process or give me some mathematical suggestions to solve it? |
BTW,I find the paramter delta[t] in Eq.(9) is different between your paper and code.It equals 1-(1+m_{t}^2)*\bar{\alpha}_{t} in your code.I wonder why? |
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你能复现出论文的结果吗 |
我拿他train好的模型推理了几个噪声语音,都是他github上给出的例子,结果和他的结果确实差不多,但是我没在整个数据集上去评估
张沐薪
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主题: Re: [neillu23/CDiffuSE] a easy problem (Issue #8)
公式9这个应该只是把括号加在后面两项再提了一个 $\bar{\alpha}_{t}$,但是我不知道他这公式是怎么来的
你能复现出论文的结果吗
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PESQ分数也差不多吗?我计算分数差的有点远 |
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你们好,我是研二学生,在研究基于扩散模型的语音增强,方便交流一下吗? |
我就水个论文,论文发了已经不做了 |
那可以看下你的论文吗?我也想学习下
karson ***@***.***>于2024年2月12日 周一21:14写道:
… 你们好,我是研二学生,在研究基于扩散模型的语音增强,方便交流一下吗?
我就水个论文,论文发了已经不做了
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<#8 (comment)>,
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还没发出来,投了出去 |
有人在做这个课题,我也会好受些,期待学习你的论文
karson ***@***.***>于2024年2月12日 周一21:18写道:
… 那可以看下你的论文吗?我也想学习下 karson *@*.
*>于2024年2月12日 周一21:14写道: … <#m_-2875696340101971545_>
你们好,我是研二学生,在研究基于扩散模型的语音增强,方便交流一下吗? 我就水个论文,论文发了已经不做了 — Reply to this email
directly, view it on GitHub <#8 (comment)
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还没发出来,投了出去
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我纯为了毕业要求,之前发SCI被拒了,改了个普通的期刊。应该后续还有人在做的,多关注关注ICASSP和INTERSPEECH |
The initial paper directly uses$\epsilon$ minus the noise estimated by model in the training stage,why the way you use divides by square root 1-$a_0$ additionally?
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