Comments (4)
Hi, we use the exact conditioning method as in DiffWave. We didn't experiment with anything else. It's an oversight that this didn't appear in the standalone code; we'll release an updated version soon.
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On more consideration it will take a while before I'm able to get to a releasable model for Sashimi+Diffwave. Hopefully the above description is enough to start with an implementation if you're interested. Feel free to correspond with us directly for more detailed questions about the implementation.
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As part of the ongoing S4 v3 release, I decided to clean up and release my implementation of Sashimi+Diffwave at https://github.com/albertfgu/diffwave-sashimi. Apologies for not releasing it earlier
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That's great, thanks!
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Related Issues (20)
- Paper, Table 1, Convolution number of parameters HOT 2
- About `krylov()` HOT 1
- Missing or misplaced "old" config folder? HOT 4
- "pretrained_model" is not defined before being called in train.py HOT 2
- Question on HMDB51 Dataset (S4ND Video Experiment)
- Unable to generate the weather using generate.py with time Series training checkpoint
- Large difference of inference result between forward and step
- AttributeError: 'SSMKernelDPLR' object has no attribute 'kernel' HOT 1
- Training on 12bits audio instead of 8bit? (Question, what do I need to change?)
- S4 Listops have nan loss HOT 2
- Quantization for S4/ Hippo
- The dynamics of the latent state of the model
- segmentation fault when running python -m train pipeline=mnist model=s4 HOT 1
- how to use the S4Block .step()
- KeyError in train.py self.dataset = SequenceDataset.registry[self.hparams.dataset._name_]
- Why is Sashimi's effect in speech signal enhancement (denoisy) so bad?
- Passing a video to S4ND
- CUDA error: no kernel image is available for execution on the device HOT 3
- Different results on the same dataset with the same Settings in the paper s4d
- Help with Forex Dataset Configuration for s4 Model
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