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Duplicate from Plachta/VITS-Umamusume-voice-synthesizer
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import re
from unidecode import unidecode
import pyopenjtalk
# 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 (romaji, ipa) pairs for marks:
_romaji_to_ipa = [(re.compile('%s' % x[0]), x[1]) for x in [
('ts', 'ʦ'),
('u', 'ɯ'),
('j', 'ʥ'),
('y', 'j'),
('ni', 'n^i'),
('nj', 'n^'),
('hi', 'çi'),
('hj', 'ç'),
('f', 'ɸ'),
('I', 'i*'),
('U', 'ɯ*'),
('r', 'ɾ')
]]
# List of (romaji, ipa2) pairs for marks:
_romaji_to_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [
('u', 'ɯ'),
('ʧ', 'tʃ'),
('j', 'dʑ'),
('y', 'j'),
('ni', 'n^i'),
('nj', 'n^'),
('hi', 'çi'),
('hj', 'ç'),
('f', 'ɸ'),
('I', 'i*'),
('U', 'ɯ*'),
('r', 'ɾ')
]]
# 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 symbols_to_japanese(text):
for regex, replacement in _symbols_to_japanese:
text = re.sub(regex, replacement, text)
return text
def japanese_to_romaji_with_accent(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):
if text != '':
text += ' '
labels = pyopenjtalk.extract_fullcontext(sentence)
for n, label in enumerate(labels):
phoneme = re.search(r'\-([^\+]*)\+', label).group(1)
if phoneme not in ['sil', 'pau']:
text += phoneme.replace('ch', 'ʧ').replace('sh',
'ʃ').replace('cl', 'Q')
else:
continue
# n_moras = int(re.search(r'/F:(\d+)_', label).group(1))
a1 = int(re.search(r"/A:(\-?[0-9]+)\+", label).group(1))
a2 = int(re.search(r"\+(\d+)\+", label).group(1))
a3 = int(re.search(r"\+(\d+)/", label).group(1))
if re.search(r'\-([^\+]*)\+', labels[n + 1]).group(1) in ['sil', 'pau']:
a2_next = -1
else:
a2_next = int(
re.search(r"\+(\d+)\+", labels[n + 1]).group(1))
# Accent phrase boundary
if a3 == 1 and a2_next == 1:
text += ' '
# Falling
elif a1 == 0 and a2_next == a2 + 1:
text += '↓'
# Rising
elif a2 == 1 and a2_next == 2:
text += '↑'
if i < len(marks):
text += unidecode(marks[i]).replace(' ', '')
return text
def get_real_sokuon(text):
for regex, replacement in _real_sokuon:
text = re.sub(regex, replacement, text)
return text
def get_real_hatsuon(text):
for regex, replacement in _real_hatsuon:
text = re.sub(regex, replacement, text)
return text
def japanese_to_ipa(text):
text = japanese_to_romaji_with_accent(text).replace('...', '…')
text = re.sub(
r'([aiueo])\1+', lambda x: x.group(0)[0]+'ː'*(len(x.group(0))-1), text)
text = get_real_sokuon(text)
text = get_real_hatsuon(text)
for regex, replacement in _romaji_to_ipa:
text = re.sub(regex, replacement, text)
return text
def japanese_to_ipa2(text):
text = japanese_to_romaji_with_accent(text).replace('...', '…')
text = get_real_sokuon(text)
text = get_real_hatsuon(text)
for regex, replacement in _romaji_to_ipa2:
text = re.sub(regex, replacement, text)
return text
def japanese_to_ipa3(text):
text = japanese_to_ipa2(text).replace('n^', 'ȵ').replace(
'ʃ', 'ɕ').replace('*', '\u0325').replace('#', '\u031a')
text = re.sub(
r'([aiɯeo])\1+', lambda x: x.group(0)[0]+'ː'*(len(x.group(0))-1), text)
text = re.sub(r'((?:^|\s)(?:ts|tɕ|[kpt]))', r'\1ʰ', text)
return text