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To compare SIREN layer with RELU +MLP, we implement two models.
audio signal (B, T, 1) --> Linear(B, T, 128) +RELU --> Linear(B, T, 128) +RELU --> Linear(B, T, 128) +RELU --> Linear(B, T, 1) --> reproduced signal (B, T, 1)
audio signal (B, T, 1) -->SIREN layer --> SIREN layer -->SIREN layer --> Linear(B, T, 1) --> reproduced signal (B, T, 1)
In your paper, RELU+MLP is not able to reproduce the audio signal, However, First model can reproduce audio signal even better than SIREN...
SIREN is also very instability so i used lower learning rate. But the loss fluctuated.
Could you explain why the siren is better than others in audio reproduction domain?
The text was updated successfully, but these errors were encountered:
Hi, I also doubt about this. Do you figure why this happen now?
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To compare SIREN layer with RELU +MLP, we implement two models.
audio signal (B, T, 1) --> Linear(B, T, 128) +RELU --> Linear(B, T, 128) +RELU --> Linear(B, T, 128) +RELU --> Linear(B, T, 1) --> reproduced signal (B, T, 1)
audio signal (B, T, 1) -->SIREN layer --> SIREN layer -->SIREN layer --> Linear(B, T, 1) --> reproduced signal (B, T, 1)
In your paper, RELU+MLP is not able to reproduce the audio signal, However, First model can reproduce audio signal even better than SIREN...
SIREN is also very instability so i used lower learning rate. But the loss fluctuated.
Could you explain why the siren is better than others in audio reproduction domain?
The text was updated successfully, but these errors were encountered: