mirror of https://github.com/coqui-ai/TTS.git
padding idx for embedding layer
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@ -39,7 +39,7 @@ class Tacotron(nn.Module):
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encoder_dim = 512 if num_speakers > 1 else 256
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proj_speaker_dim = 80 if num_speakers > 1 else 0
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# embedding layer
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self.embedding = nn.Embedding(num_chars, 256)
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self.embedding = nn.Embedding(num_chars, 256, padding_idx=0)
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self.embedding.weight.data.normal_(0, 0.3)
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# boilerplate model
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self.encoder = Encoder(encoder_dim)
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@ -35,7 +35,7 @@ class Tacotron2(nn.Module):
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encoder_dim = 512 if num_speakers > 1 else 512
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proj_speaker_dim = 80 if num_speakers > 1 else 0
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# embedding layer
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self.embedding = nn.Embedding(num_chars, 512)
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self.embedding = nn.Embedding(num_chars, 512, padding_idx=0)
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std = sqrt(2.0 / (num_chars + 512))
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val = sqrt(3.0) * std # uniform bounds for std
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self.embedding.weight.data.uniform_(-val, val)
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@ -63,6 +63,19 @@ def convert_to_ascii(text):
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return unidecode(text)
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def remove_aux_symbols(text):
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text = re.sub(r'[\<\>\(\)\[\]\"\']+', '', text)
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return text
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def replace_symbols(text):
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text = text.replace(';', ',')
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text = text.replace('-', ' ')
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text = text.replace(':', ' ')
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text = text.replace('&', 'and')
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return text
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def basic_cleaners(text):
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'''Basic pipeline that lowercases and collapses whitespace without transliteration.'''
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text = lowercase(text)
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@ -84,6 +97,8 @@ def english_cleaners(text):
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text = lowercase(text)
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text = expand_numbers(text)
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text = expand_abbreviations(text)
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text = replace_symbols(text)
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text = remove_aux_symbols(text)
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text = collapse_whitespace(text)
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return text
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@ -93,5 +108,7 @@ def phoneme_cleaners(text):
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text = convert_to_ascii(text)
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text = expand_numbers(text)
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text = expand_abbreviations(text)
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text = replace_symbols(text)
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text = remove_aux_symbols(text)
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text = collapse_whitespace(text)
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return text
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