60 lines
2.2 KiB
Python
60 lines
2.2 KiB
Python
# Copyright 2025 ByteDance and/or its affiliates.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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import torch
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from torch import nn
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import torch.nn.functional as F
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from tts.modules.wavvae.decoder.seanet_encoder import Encoder
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from tts.modules.wavvae.decoder.diag_gaussian import DiagonalGaussianDistribution
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from tts.modules.wavvae.decoder.hifigan_modules import Generator, Upsample
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class WavVAE_V3(nn.Module):
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def __init__(self, hparams=None):
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super().__init__()
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self.encoder = Encoder(dowmsamples=[6, 5, 4, 4, 2])
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self.proj_to_z = nn.Linear(512, 64)
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self.proj_to_decoder = nn.Linear(32, 320)
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config_path = hparams['melgan_config']
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args = argparse.Namespace()
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args.__dict__.update(config_path)
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self.latent_upsampler = Upsample(320, 4)
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self.decoder = Generator(
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input_size_=160, ngf=128, n_residual_layers=4,
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num_band=1, args=args, ratios=[5,4,4,3])
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''' encode waveform into 25 hz latent representation '''
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def encode_latent(self, audio):
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posterior = self.encode(audio)
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latent = posterior.sample().permute(0, 2, 1) # (b,t,latent_channel)
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return latent
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def encode(self, audio):
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x = self.encoder(audio).permute(0, 2, 1)
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x = self.proj_to_z(x).permute(0, 2, 1)
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poseterior = DiagonalGaussianDistribution(x)
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return poseterior
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def decode(self, latent):
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latent = self.proj_to_decoder(latent).permute(0, 2, 1)
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return self.decoder(self.latent_upsampler(latent))
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def forward(self, audio):
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posterior = self.encode(audio)
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latent = posterior.sample().permute(0, 2, 1) # (b, t, latent_channel)
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recon_wav = self.decode(latent)
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return recon_wav, posterior |