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View Code? Open in Web Editor NEWAudio Bit Depth Super-Resolution with Neural Networks
Audio Bit Depth Super-Resolution with Neural Networks
Our receptive field should look like that from the desnoising WaveNet paper and extend both forward and back.
Should compute some sort of quantitative metric like SNR.
When everything is fully implemented, someone needs to kick off the full training run for BDSR on Azure. We can use a server with more power if necessary.
The first full-scale training run should train on the Mehri piano dataset using the given splits. We will then evaluate it on the associated test set.
While the data loader is currently working with the Mehri dataset, the input/output dimensions of the network haven't been updated so the forward pass doesn't work yet.
Fixing this might be as simple as just changing the dimensions, but could be significantly more complicated. If it ends up being a really difficult task, just spin out more issues on GitHub and we can all pitch in.
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