import re from unidecode import unidecode import pyopenjtalk pyopenjtalk._lazy_init() # 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]') def japanese_cleaners(text): '''Pipeline for notating accent in Japanese text.''' '''Reference https://r9y9.github.io/ttslearn/latest/notebooks/ch10_Recipe-Tacotron.html''' 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 and a2 != n_moras: text += '↓' # Rising elif a2 == 1 and a2_next == 2: text += '↑' if i < len(marks): text += unidecode(marks[i]).replace(' ', '') if re.match('[A-Za-z]', text[-1]): text += '.' return text def japanese_cleaners2(text): return japanese_cleaners(text).replace('ts', 'ʦ')