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https://github.com/BoardWare-Genius/jarvis-models.git
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154 lines
4.9 KiB
Python
154 lines
4.9 KiB
Python
import re
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from unidecode import unidecode
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import pyopenjtalk
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# Regular expression matching Japanese without punctuation marks:
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_japanese_characters = re.compile(
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r'[A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]')
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# Regular expression matching non-Japanese characters or punctuation marks:
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_japanese_marks = re.compile(
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r'[^A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]')
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# List of (symbol, Japanese) pairs for marks:
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_symbols_to_japanese = [(re.compile('%s' % x[0]), x[1]) for x in [
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('%', 'パーセント')
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]]
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# List of (romaji, ipa) pairs for marks:
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_romaji_to_ipa = [(re.compile('%s' % x[0]), x[1]) for x in [
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('ts', 'ʦ'),
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('u', 'ɯ'),
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('j', 'ʥ'),
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('y', 'j'),
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('ni', 'n^i'),
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('nj', 'n^'),
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('hi', 'çi'),
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('hj', 'ç'),
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('f', 'ɸ'),
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('I', 'i*'),
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('U', 'ɯ*'),
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('r', 'ɾ')
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]]
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# List of (romaji, ipa2) pairs for marks:
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_romaji_to_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [
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('u', 'ɯ'),
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('ʧ', 'tʃ'),
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('j', 'dʑ'),
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('y', 'j'),
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('ni', 'n^i'),
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('nj', 'n^'),
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('hi', 'çi'),
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('hj', 'ç'),
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('f', 'ɸ'),
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('I', 'i*'),
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('U', 'ɯ*'),
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('r', 'ɾ')
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]]
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# List of (consonant, sokuon) pairs:
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_real_sokuon = [(re.compile('%s' % x[0]), x[1]) for x in [
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(r'Q([↑↓]*[kg])', r'k#\1'),
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(r'Q([↑↓]*[tdjʧ])', r't#\1'),
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(r'Q([↑↓]*[sʃ])', r's\1'),
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(r'Q([↑↓]*[pb])', r'p#\1')
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]]
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# List of (consonant, hatsuon) pairs:
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_real_hatsuon = [(re.compile('%s' % x[0]), x[1]) for x in [
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(r'N([↑↓]*[pbm])', r'm\1'),
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(r'N([↑↓]*[ʧʥj])', r'n^\1'),
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(r'N([↑↓]*[tdn])', r'n\1'),
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(r'N([↑↓]*[kg])', r'ŋ\1')
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]]
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def symbols_to_japanese(text):
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for regex, replacement in _symbols_to_japanese:
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text = re.sub(regex, replacement, text)
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return text
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def japanese_to_romaji_with_accent(text):
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'''Reference https://r9y9.github.io/ttslearn/latest/notebooks/ch10_Recipe-Tacotron.html'''
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text = symbols_to_japanese(text)
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sentences = re.split(_japanese_marks, text)
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marks = re.findall(_japanese_marks, text)
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text = ''
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for i, sentence in enumerate(sentences):
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if re.match(_japanese_characters, sentence):
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if text != '':
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text += ' '
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labels = pyopenjtalk.extract_fullcontext(sentence)
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for n, label in enumerate(labels):
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phoneme = re.search(r'\-([^\+]*)\+', label).group(1)
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if phoneme not in ['sil', 'pau']:
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text += phoneme.replace('ch', 'ʧ').replace('sh',
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'ʃ').replace('cl', 'Q')
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else:
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continue
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# n_moras = int(re.search(r'/F:(\d+)_', label).group(1))
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a1 = int(re.search(r"/A:(\-?[0-9]+)\+", label).group(1))
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a2 = int(re.search(r"\+(\d+)\+", label).group(1))
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a3 = int(re.search(r"\+(\d+)/", label).group(1))
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if re.search(r'\-([^\+]*)\+', labels[n + 1]).group(1) in ['sil', 'pau']:
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a2_next = -1
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else:
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a2_next = int(
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re.search(r"\+(\d+)\+", labels[n + 1]).group(1))
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# Accent phrase boundary
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if a3 == 1 and a2_next == 1:
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text += ' '
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# Falling
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elif a1 == 0 and a2_next == a2 + 1:
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text += '↓'
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# Rising
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elif a2 == 1 and a2_next == 2:
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text += '↑'
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if i < len(marks):
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text += unidecode(marks[i]).replace(' ', '')
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return text
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def get_real_sokuon(text):
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for regex, replacement in _real_sokuon:
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text = re.sub(regex, replacement, text)
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return text
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def get_real_hatsuon(text):
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for regex, replacement in _real_hatsuon:
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text = re.sub(regex, replacement, text)
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return text
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def japanese_to_ipa(text):
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text = japanese_to_romaji_with_accent(text).replace('...', '…')
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text = re.sub(
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r'([aiueo])\1+', lambda x: x.group(0)[0]+'ː'*(len(x.group(0))-1), text)
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text = get_real_sokuon(text)
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text = get_real_hatsuon(text)
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for regex, replacement in _romaji_to_ipa:
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text = re.sub(regex, replacement, text)
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return text
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def japanese_to_ipa2(text):
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text = japanese_to_romaji_with_accent(text).replace('...', '…')
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text = get_real_sokuon(text)
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text = get_real_hatsuon(text)
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for regex, replacement in _romaji_to_ipa2:
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text = re.sub(regex, replacement, text)
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return text
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def japanese_to_ipa3(text):
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text = japanese_to_ipa2(text).replace('n^', 'ȵ').replace(
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'ʃ', 'ɕ').replace('*', '\u0325').replace('#', '\u031a')
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text = re.sub(
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r'([aiɯeo])\1+', lambda x: x.group(0)[0]+'ː'*(len(x.group(0))-1), text)
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text = re.sub(r'((?:^|\s)(?:ts|tɕ|[kpt]))', r'\1ʰ', text)
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return text
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