mirror of https://github.com/coqui-ai/TTS.git
46 lines
1.7 KiB
Python
46 lines
1.7 KiB
Python
from torch import nn
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from TTS.vocoder.models.melgan_discriminator import MelganDiscriminator
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class MelganMultiscaleDiscriminator(nn.Module):
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def __init__(self,
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in_channels=1,
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out_channels=1,
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num_scales=3,
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kernel_sizes=(5, 3),
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base_channels=16,
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max_channels=1024,
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downsample_factors=(4, 4, 4),
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pooling_kernel_size=4,
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pooling_stride=2,
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pooling_padding=2,
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groups_denominator=4):
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super(MelganMultiscaleDiscriminator, self).__init__()
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self.discriminators = nn.ModuleList([
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MelganDiscriminator(in_channels=in_channels,
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out_channels=out_channels,
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kernel_sizes=kernel_sizes,
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base_channels=base_channels,
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max_channels=max_channels,
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downsample_factors=downsample_factors,
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groups_denominator=groups_denominator)
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for _ in range(num_scales)
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])
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self.pooling = nn.AvgPool1d(kernel_size=pooling_kernel_size,
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stride=pooling_stride,
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padding=pooling_padding,
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count_include_pad=False)
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def forward(self, x):
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scores = list()
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feats = list()
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for disc in self.discriminators:
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score, feat = disc(x)
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scores.append(score)
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feats.append(feat)
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x = self.pooling(x)
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return scores, feats
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