mirror of https://github.com/coqui-ai/TTS.git
cached_property for cutlet
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@ -8,6 +8,7 @@ from hangul_romanize import Transliter
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from hangul_romanize.rule import academic
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from hangul_romanize.rule import academic
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from num2words import num2words
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from num2words import num2words
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from tokenizers import Tokenizer
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from tokenizers import Tokenizer
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from yarl import cached_property
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from TTS.tts.layers.xtts.zh_num2words import TextNorm as zh_num2words
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from TTS.tts.layers.xtts.zh_num2words import TextNorm as zh_num2words
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@ -535,7 +536,6 @@ DEFAULT_VOCAB_FILE = os.path.join(os.path.dirname(os.path.realpath(__file__)), "
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class VoiceBpeTokenizer:
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class VoiceBpeTokenizer:
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def __init__(self, vocab_file=None):
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def __init__(self, vocab_file=None):
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self.tokenizer = None
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self.tokenizer = None
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self.katsu = None
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if vocab_file is not None:
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if vocab_file is not None:
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self.tokenizer = Tokenizer.from_file(vocab_file)
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self.tokenizer = Tokenizer.from_file(vocab_file)
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self.char_limits = {
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self.char_limits = {
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@ -557,6 +557,11 @@ class VoiceBpeTokenizer:
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"ko": 95,
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"ko": 95,
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}
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}
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@cached_property
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def katsu(self):
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import cutlet
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return cutlet.Cutlet()
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def check_input_length(self, txt, lang):
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def check_input_length(self, txt, lang):
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limit = self.char_limits.get(lang, 250)
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limit = self.char_limits.get(lang, 250)
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if len(txt) > limit:
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if len(txt) > limit:
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@ -568,9 +573,6 @@ class VoiceBpeTokenizer:
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if lang == "zh-cn":
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if lang == "zh-cn":
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txt = chinese_transliterate(txt)
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txt = chinese_transliterate(txt)
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elif lang == "ja":
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elif lang == "ja":
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if self.katsu is None:
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import cutlet
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self.katsu = cutlet.Cutlet()
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txt = japanese_cleaners(txt, self.katsu)
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txt = japanese_cleaners(txt, self.katsu)
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else:
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else:
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raise NotImplementedError()
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raise NotImplementedError()
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