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# modified from https://github.com/CjangCjengh/vits/blob/main/text/japanese.py
import re
import sys
import pyopenjtalk
from text import symbols
# Regular expression matching Japanese without punctuation marks:
_japanese_characters = re.compile(
r'[A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]')
# Regular expression matching non-Japanese characters or punctuation marks:
_japanese_marks = re.compile(
r'[^A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]')
# List of (symbol, Japanese) pairs for marks:
_symbols_to_japanese = [(re.compile('%s' % x[0]), x[1]) for x in [
('％', 'パーセント')
]]
# List of (consonant, sokuon) pairs:
_real_sokuon = [(re.compile('%s' % x[0]), x[1]) for x in [
(r'Q([↑↓]*[kg])', r'k#\1'),
(r'Q([↑↓]*[tdjʧ])', r't#\1'),
(r'Q([↑↓]*[sʃ])', r's\1'),
(r'Q([↑↓]*[pb])', r'p#\1')
]]
# List of (consonant, hatsuon) pairs:
_real_hatsuon = [(re.compile('%s' % x[0]), x[1]) for x in [
(r'N([↑↓]*[pbm])', r'm\1'),
(r'N([↑↓]*[ʧʥj])', r'n^\1'),
(r'N([↑↓]*[tdn])', r'n\1'),
(r'N([↑↓]*[kg])', r'ŋ\1')
]]
def post_replace_ph(ph):
rep_map = {
'：': ',',
'；': ',',
'，': ',',
'。': '.',
'！': '!',
'？': '?',
'\n': '.',
"·": ",",
'、': ",",
'...': '…'
}
if ph in rep_map.keys():
ph = rep_map[ph]
if ph in symbols:
return ph
if ph not in symbols:
ph = 'UNK'
return ph
def symbols_to_japanese(text):
for regex, replacement in _symbols_to_japanese:
text = re.sub(regex, replacement, text)
return text
def preprocess_jap(text):
'''Reference https://r9y9.github.io/ttslearn/latest/notebooks/ch10_Recipe-Tacotron.html'''
text = symbols_to_japanese(text)
sentences = re.split(_japanese_marks, text)
marks = re.findall(_japanese_marks, text)
text = []
for i, sentence in enumerate(sentences):
if re.match(_japanese_characters, sentence):
p = pyopenjtalk.g2p(sentence)
text += p.split(" ")
if i < len(marks):
text += [marks[i].replace(' ', '')]
return text
def text_normalize(text):
# todo: jap text normalize
return text
def g2p(norm_text):
phones = preprocess_jap(norm_text)
phones = [post_replace_ph(i) for i in phones]
# todo: implement tones and word2ph
return phones
if __name__ == '__main__':
for line in open("../../../Downloads/transcript_utf8.txt").readlines():
text = line.split(":")[1]
phones = g2p(text)
print(phones)
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