Spaces:
Running
on
T4
Running
on
T4
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], re.IGNORECASE), 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') | |
]] | |
# Dictinary of (consonant, sokuon) pairs: | |
_real_sokuon = { | |
'k': 'k#', | |
'g': 'k#', | |
't': 't#', | |
'd': 't#', | |
'ʦ': 't#', | |
'ʧ': 't#', | |
'ʥ': 't#', | |
'j': 't#', | |
's': 's', | |
'ʃ': 's', | |
'p': 'p#', | |
'b': 'p#' | |
} | |
# Dictinary of (consonant, hatsuon) pairs: | |
_real_hatsuon = { | |
'p': 'm', | |
'b': 'm', | |
'm': 'm', | |
't': 'n', | |
'd': 'n', | |
'n': 'n', | |
'ʧ': 'n^', | |
'ʥ': 'n^', | |
'k': 'ŋ', | |
'g': 'ŋ' | |
} | |
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): | |
text=re.sub('Q[↑↓]*(.)',lambda x:_real_sokuon[x.group(1)]+x.group(0)[1:] if x.group(1) in _real_sokuon.keys() else x.group(0),text) | |
return text | |
def get_real_hatsuon(text): | |
text=re.sub('N[↑↓]*(.)',lambda x:_real_hatsuon[x.group(1)]+x.group(0)[1:] if x.group(1) in _real_hatsuon.keys() else x.group(0),text) | |
return text | |
def japanese_to_ipa(text): | |
text=japanese_to_romaji_with_accent(text) | |
for regex, replacement in _romaji_to_ipa: | |
text = re.sub(regex, replacement, text) | |
text = re.sub( | |
r'([A-Za-zɯ])\1+', lambda x: x.group(0)[0]+'ː'*(len(x.group(0))-1), text) | |
text = get_real_sokuon(text) | |
text = get_real_hatsuon(text) | |
return text | |