Medix-AI/coqui-tts
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fix losses for alignTTS

This commit is contained in:
Eren Gölge 2021-03-20 16:06:19 +01:00
parent 18cc7b95ec
commit d542a50818
1 changed files with 5 additions and 5 deletions
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10
TTS/tts/layers/losses.py
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@ -512,19 +512,19 @@ class AlignTTSLoss(nn.Module):
if phase == 0:
mdn_loss = self.mdn_loss(mu, log_sigma, logp, decoder_target, input_lens, decoder_output_lens)
elif phase == 1:
spec_loss = self.l1(decoder_output, decoder_target, decoder_output_lens)
spec_loss = self.spec_loss(decoder_output, decoder_target, decoder_output_lens)
ssim_loss = self.ssim(decoder_output, decoder_target, decoder_output_lens)
elif phase == 2:
mdn_loss = self.mdn_loss(mu, log_sigma, logp, decoder_target, input_lens, decoder_output_lens)
spec_loss = self.l1(decoder_output, decoder_target, decoder_output_lens)
spec_loss = self.spec_lossX(decoder_output, decoder_target, decoder_output_lens)
ssim_loss = self.ssim(decoder_output, decoder_target, decoder_output_lens)
elif phase == 3:
dur_loss = self.huber(dur_output, dur_target, input_lens)
dur_loss = self.dur_loss(dur_output.unsqueeze(2), dur_target.unsqueeze(2), input_lens)
else:
mdn_loss = self.mdn_loss(mu, log_sigma, logp, decoder_target, input_lens, decoder_output_lens)
spec_loss = self.l1(decoder_output, decoder_target, decoder_output_lens)
spec_loss = self.spec_loss(decoder_output, decoder_target, decoder_output_lens)
ssim_loss = self.ssim(decoder_output, decoder_target, decoder_output_lens)
dur_loss = self.huber(dur_output, dur_target, input_lens)
dur_loss = self.dur_loss(dur_output.unsqueeze(2), dur_target.unsqueeze(2), input_lens)
loss = spec_loss_alpha * spec_loss + ssim_alpha * ssim_loss + dur_loss_alpha * dur_loss + mdn_alpha * mdn_loss
return {'loss': loss, 'loss_l1': spec_loss, 'loss_ssim': ssim_loss, 'loss_dur': dur_loss, 'mdn_loss': mdn_loss}