diff options
| author | Jan Buethe <jbuethe@amazon.de> | 2023-09-22 12:18:41 +0300 |
|---|---|---|
| committer | Jan Buethe <jbuethe@amazon.de> | 2023-09-22 12:18:41 +0300 |
| commit | aad74fdfd6ffe7df1986cfb6f410f203c16ab094 (patch) | |
| tree | 903550d4d4f84cfb63535e2e1502aa4993b26922 | |
| parent | 0a92bc5eaa6467d63efbed0b5ff625db64be5629 (diff) | |
pulse-related bugfix
| -rw-r--r-- | dnn/torch/osce/models/lavoce.py | 4 | ||||
| -rw-r--r-- | dnn/torch/osce/models/lavoce_400.py | 4 |
2 files changed, 4 insertions, 4 deletions
diff --git a/dnn/torch/osce/models/lavoce.py b/dnn/torch/osce/models/lavoce.py index 795246b9..47b6d1e9 100644 --- a/dnn/torch/osce/models/lavoce.py +++ b/dnn/torch/osce/models/lavoce.py @@ -133,7 +133,7 @@ class LaVoce(nn.Module): self.post_af3 = nn.Conv1d(cond_dim, cond_dim, ftrans_k) - def create_phase_signals(self, periods, pulses=False): + def create_phase_signals(self, periods): batch_size = periods.size(0) progression = torch.arange(1, self.FRAME_SIZE + 1, dtype=periods.dtype, device=periods.device).view((1, -1)) @@ -144,7 +144,7 @@ class LaVoce(nn.Module): for sframe in range(periods.size(1)): f = (2.0 * torch.pi / periods[:, sframe]).unsqueeze(-1) - if pulses: + if self.pulses: alpha = torch.cos(f) chunk_sin = torch.sin(f * progression + phase0).view(batch_size, 1, self.FRAME_SIZE) pulse_a = torch.relu(chunk_sin - alpha) / (1 - alpha) diff --git a/dnn/torch/osce/models/lavoce_400.py b/dnn/torch/osce/models/lavoce_400.py index ab7724df..e9a543cf 100644 --- a/dnn/torch/osce/models/lavoce_400.py +++ b/dnn/torch/osce/models/lavoce_400.py @@ -118,7 +118,7 @@ class LaVoce400(nn.Module): self.post_af3 = nn.Conv1d(cond_dim, cond_dim, 2) - def create_phase_signals(self, periods, pulses=False): + def create_phase_signals(self, periods): batch_size = periods.size(0) progression = torch.arange(1, self.FRAME_SIZE + 1, dtype=periods.dtype, device=periods.device).view((1, -1)) @@ -129,7 +129,7 @@ class LaVoce400(nn.Module): for sframe in range(periods.size(1)): f = (2.0 * torch.pi / periods[:, sframe]).unsqueeze(-1) - if pulses: + if self.pulses: alpha = torch.cos(f) chunk_sin = torch.sin(f * progression + phase0).view(batch_size, 1, self.FRAME_SIZE) pulse_a = torch.relu(chunk_sin - alpha) / (1 - alpha) |