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@@ -458,7 +458,7 @@ class Tacotron(nn.Module):
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if t == 0:
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if t == 0:
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first_stop_token = stop_tokens[0]
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first_stop_token = stop_tokens[0]
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# Stop the loop when all stop tokens in batch exceed threshold compared with the 1st token and the sequence's length exceeds threshold
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# Stop the loop when all stop tokens in batch exceed threshold compared with the 1st token and the sequence's length exceeds threshold
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if (stop_tokens > first_stop_token * 4e3).all() and t > (20 * self.r): break
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if (stop_tokens > first_stop_token * 2e3).all() and t > (20 * self.r): break
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# if (stop_tokens > 0.5).all() and t > (20 * self.r): break
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# if (stop_tokens > 0.5).all() and t > (20 * self.r): break
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if torch.cuda.is_available():
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if torch.cuda.is_available():
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torch.cuda.empty_cache()
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torch.cuda.empty_cache()
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@@ -46,5 +46,5 @@ voc_overlap = 400 # number of samples for crossfading between
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# Output Noise Reduce
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# Output Noise Reduce
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prop_decrease_low_freq = 0.6 # prop decrease for low dominant frequency
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prop_decrease_low_freq = 0.6 # prop decrease for low dominant frequency
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prop_decrease_high_freq = 0.9 # prop decrease for high dominant frequency
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prop_decrease_high_freq = 0.9 # prop decrease for high dominant frequency
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dry=1 # dry ratio for facebook denoiser
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dry=0.1 # dry ratio for facebook denoiser
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sex = -1
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sex = -1
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