How to use the jaconv.normalize function in jaconv
To help you get started, we’ve selected a few jaconv examples, based on popular ways it is used in public projects.
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r9y9 / deepvoice3_pytorch / deepvoice3_pytorch / frontend / jp / __init__.py View on Github 
def text_to_sequence(text, p=0.0):
for c in [" ", " ", "「", "」", "『", "』", "・", "【", "】",
"（", "）", "(", ")"]:
text = text.replace(c, "")
text = text.replace("!", "！")
text = text.replace("?", "？")
text = normalize_delimitor(text)
text = jaconv.normalize(text)
if p > 0:
text = mix_pronunciation(text, p)
text = jaconv.hira2kata(text)
text = add_punctuation(text)
return [ord(c) for c in text] + [_eos] # EOSdef text_to_sequence(text, p=0.0):
for c in [" ", " ", "「", "」", "『", "』", "・", "【", "】",
"（", "）", "(", ")"]:
text = text.replace(c, "")
text = text.replace("!", "！")
text = text.replace("?", "？")
text = normalize_delimitor(text)
text = jaconv.normalize(text)
if p > 0:
text = mix_pronunciation(text, p)
text = jaconv.hira2kata(text)
text = add_punctuation(text)
return [ord(c) for c in text] + [_eos] # EOSdef g2p(text, trans_type="char"):
text = jaconv.normalize(text)
if trans_type == "char":
text = pyopenjtalk.g2p(text, kana=True)
elif trans_type == "phn":
text = pyopenjtalk.g2p(text, kana=False)
else:
assert False
return textjaconv
Pure-Python Japanese character interconverter for Hiragana, Katakana, Hankaku, Zenkaku and more
