mirror of https://github.com/coqui-ai/TTS.git
use phoneme to sequence for synthesis
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@ -3,7 +3,7 @@ import time
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import librosa
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import librosa
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import torch
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import torch
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import numpy as np
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import numpy as np
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from .text import text_to_sequence
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from .text import text_to_sequence, phoneme_to_sequence
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from .visual import visualize
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from .visual import visualize
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from matplotlib import pylab as plt
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from matplotlib import pylab as plt
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@ -11,7 +11,7 @@ from matplotlib import pylab as plt
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def synthesis(m, s, CONFIG, use_cuda, ap):
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def synthesis(m, s, CONFIG, use_cuda, ap):
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""" Given the text, synthesising the audio """
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""" Given the text, synthesising the audio """
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text_cleaner = [CONFIG.text_cleaner]
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text_cleaner = [CONFIG.text_cleaner]
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seq = np.array(text_to_sequence(s, text_cleaner))
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seq = np.array(phoneme_to_sequence(s, text_cleaner))
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chars_var = torch.from_numpy(seq).unsqueeze(0)
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chars_var = torch.from_numpy(seq).unsqueeze(0)
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if use_cuda:
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if use_cuda:
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chars_var = chars_var.cuda()
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chars_var = chars_var.cuda()
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