diff options
| author | Jean-Marc Valin <jmvalin@amazon.com> | 2023-09-24 00:37:54 +0300 |
|---|---|---|
| committer | Jean-Marc Valin <jmvalin@amazon.com> | 2023-09-24 00:37:54 +0300 |
| commit | 69add3bdd459d3c7dc28692ff21f3e24e6db7d40 (patch) | |
| tree | 4aa874edb00591dceedc11dbdddd0489e3e7549c | |
| parent | cfeef4becb3705dd21e22dd99f222ca370d282ee (diff) | |
fix gammaexp_fargan38
| -rw-r--r-- | dnn/torch/fargan/dataset.py | 2 | ||||
| -rw-r--r-- | dnn/torch/fargan/train_fargan.py | 1 |
2 files changed, 2 insertions, 1 deletions
diff --git a/dnn/torch/fargan/dataset.py b/dnn/torch/fargan/dataset.py index 1454d05e..f10f4cc7 100644 --- a/dnn/torch/fargan/dataset.py +++ b/dnn/torch/fargan/dataset.py @@ -52,7 +52,7 @@ class FARGANDataset(torch.utils.data.Dataset): lpc = self.lpc[index, 4:, :].copy() data = self.data[index, :].copy().astype(np.float32) / 2**15 periods = self.periods[index, :].copy() - lpc = lpc*(.92**np.arange(1,17)) + #lpc = lpc*(self.gamma**np.arange(1,17)) #lpc=lpc[None,:,:] #lpc = fargan.interp_lpc(lpc, 4) #lpc=lpc[0,:,:] diff --git a/dnn/torch/fargan/train_fargan.py b/dnn/torch/fargan/train_fargan.py index 61eb6fd9..3a7752d1 100644 --- a/dnn/torch/fargan/train_fargan.py +++ b/dnn/torch/fargan/train_fargan.py @@ -117,6 +117,7 @@ if __name__ == '__main__': #lpc = torch.tensor(fargan.interp_lpc(lpc.numpy(), 4)) #print("interp size", lpc.shape) lpc = lpc.to(device) + lpc = lpc*(args.gamma**torch.arange(1,17, device=device)) lpc = fargan.interp_lpc(lpc, 4) periods = periods.to(device) if (np.random.rand() > 0.1): |