-
Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **CVC: Contrastive Learning for Non-parallel Voice Conversion**
- summary: Cycle consistent generative a…
-
Hi,
I understood that trains support the use of conda (my need is to be able to launch experiments with different conda environments - e.g. launch train 1 with env 1 and then launch train 2 with en…
-
thanks for your contribution, I have trained my own cycleGAN model according to the instructions. My question is, when I plan to inference the data which include 1000 data set (testA), do I have to …
-
Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **An Objective Evaluation Framework for Pathological Speech Synthesis**
- summary: The development of pa…
-
TorchBench CI has detected a performance signal or runtime regression.
Base PyTorch commit: b41958165d875c02e0cffdba8aa01e2623a4884a
Affected PyTorch commit: a87500edd636dc80d1814094102e845f0c96218…
-
Hello, may I know if your network was trained using an unpaired or paired approach? In your paper, you mentioned that your network was trained based on a CycleGAN-based network (an unpaired training m…
-
使用predict时:
RuntimeError: Error(s) in loading state_dict for Unet:
Missing key(s) in state_dict: "up_concat4.cbam.mlp.0.weight", "up_concat4.cbam.mlp.2.weight", "up_concat4.cbam.conv.weight", "up_c…
-
I am getting a lot of a patterned noise in the generated dataset. Any known reason?
![die](https://user-images.githubusercontent.com/24257914/52461725-4b4df600-2b96-11e9-9edf-dab81f90f027.png)
-
@junyanz @ssnl @AyushExel
So far i know, model can accept the any image size then implement the preprocess step.
can Model handle images of different sizes and generate outputs in the same siz…
-
Hi, When I used the IXI dataset ,your model works well, However when I applied your work on WMH(https://wmh.isi.uu.nl/), I met some issues. Some lession part appeared and disappeared randomly. please …