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""" Usage:
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align.py wavfile trsfile outwordfile outphonefile
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"""
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import os
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import sys
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PHONEME = 'tools/aligner/english_envir/english2phoneme/phoneme'
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MODEL_DIR_EN = 'tools/aligner/english'
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MODEL_DIR_ZH = 'tools/aligner/mandarin'
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HVITE = 'tools/htk/HTKTools/HVite'
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HCOPY = 'tools/htk/HTKTools/HCopy'
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def get_unk_phns(word_str: str):
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tmpbase = '/tmp/tp.'
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f = open(tmpbase + 'temp.words', 'w')
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f.write(word_str)
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f.close()
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os.system(PHONEME + ' ' + tmpbase + 'temp.words' + ' ' + tmpbase +
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'temp.phons')
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f = open(tmpbase + 'temp.phons', 'r')
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lines2 = f.readline().strip().split()
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f.close()
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phns = []
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for phn in lines2:
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phons = phn.replace('\n', '').replace(' ', '')
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seq = []
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j = 0
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while (j < len(phons)):
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if (phons[j] > 'Z'):
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if (phons[j] == 'j'):
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seq.append('JH')
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elif (phons[j] == 'h'):
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seq.append('HH')
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else:
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seq.append(phons[j].upper())
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j += 1
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else:
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p = phons[j:j + 2]
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if (p == 'WH'):
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seq.append('W')
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elif (p in ['TH', 'SH', 'HH', 'DH', 'CH', 'ZH', 'NG']):
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seq.append(p)
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elif (p == 'AX'):
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seq.append('AH0')
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else:
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seq.append(p + '1')
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j += 2
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phns.extend(seq)
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return phns
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def words2phns(line: str):
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'''
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Args:
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line (str): input text.
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eg: for that reason cover is impossible to be given.
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Returns:
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List[str]: phones of input text.
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eg:
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['F', 'AO1', 'R', 'DH', 'AE1', 'T', 'R', 'IY1', 'Z', 'AH0', 'N', 'K', 'AH1', 'V', 'ER0',
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'IH1', 'Z', 'IH2', 'M', 'P', 'AA1', 'S', 'AH0', 'B', 'AH0', 'L', 'T', 'UW1', 'B', 'IY1',
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'G', 'IH1', 'V', 'AH0', 'N']
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Dict(str, str): key - idx_word
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value - phones
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eg:
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{'0_FOR': ['F', 'AO1', 'R'], '1_THAT': ['DH', 'AE1', 'T'], '2_REASON': ['R', 'IY1', 'Z', 'AH0', 'N'],
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'3_COVER': ['K', 'AH1', 'V', 'ER0'], '4_IS': ['IH1', 'Z'], '5_IMPOSSIBLE': ['IH2', 'M', 'P', 'AA1', 'S', 'AH0', 'B', 'AH0', 'L'],
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'6_TO': ['T', 'UW1'], '7_BE': ['B', 'IY1'], '8_GIVEN': ['G', 'IH1', 'V', 'AH0', 'N']}
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'''
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dictfile = MODEL_DIR_EN + '/dict'
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line = line.strip()
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words = []
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for pun in [',', '.', ':', ';', '!', '?', '"', '(', ')', '--', '---']:
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line = line.replace(pun, ' ')
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for wrd in line.split():
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if (wrd[-1] == '-'):
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wrd = wrd[:-1]
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if (wrd[0] == "'"):
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wrd = wrd[1:]
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if wrd:
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words.append(wrd)
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ds = set([])
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word2phns_dict = {}
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with open(dictfile, 'r') as fid:
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for line in fid:
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word = line.split()[0]
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ds.add(word)
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if word not in word2phns_dict.keys():
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word2phns_dict[word] = " ".join(line.split()[1:])
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phns = []
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wrd2phns = {}
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for index, wrd in enumerate(words):
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if wrd == '[MASK]':
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wrd2phns[str(index) + "_" + wrd] = [wrd]
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phns.append(wrd)
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elif (wrd.upper() not in ds):
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wrd2phns[str(index) + "_" + wrd.upper()] = get_unk_phns(wrd)
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phns.extend(get_unk_phns(wrd))
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else:
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wrd2phns[str(index) +
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"_" + wrd.upper()] = word2phns_dict[wrd.upper()].split()
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phns.extend(word2phns_dict[wrd.upper()].split())
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return phns, wrd2phns
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def words2phns_zh(line: str):
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dictfile = MODEL_DIR_ZH + '/dict'
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line = line.strip()
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words = []
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for pun in [
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',', '.', ':', ';', '!', '?', '"', '(', ')', '--', '---', u'，',
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u'。', u'：', u'；', u'！', u'？', u'（', u'）'
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]:
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line = line.replace(pun, ' ')
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for wrd in line.split():
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if (wrd[-1] == '-'):
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wrd = wrd[:-1]
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if (wrd[0] == "'"):
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wrd = wrd[1:]
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if wrd:
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words.append(wrd)
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ds = set([])
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word2phns_dict = {}
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with open(dictfile, 'r') as fid:
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for line in fid:
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word = line.split()[0]
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ds.add(word)
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if word not in word2phns_dict.keys():
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word2phns_dict[word] = " ".join(line.split()[1:])
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phns = []
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wrd2phns = {}
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for index, wrd in enumerate(words):
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if wrd == '[MASK]':
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wrd2phns[str(index) + "_" + wrd] = [wrd]
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phns.append(wrd)
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elif (wrd.upper() not in ds):
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print("出现非法词错误,请输入正确的文本...")
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else:
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wrd2phns[str(index) + "_" + wrd] = word2phns_dict[wrd].split()
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phns.extend(word2phns_dict[wrd].split())
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return phns, wrd2phns
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def prep_txt_zh(line: str, tmpbase: str, dictfile: str):
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words = []
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line = line.strip()
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for pun in [
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',', '.', ':', ';', '!', '?', '"', '(', ')', '--', '---', u'，',
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u'。', u'：', u'；', u'！', u'？', u'（', u'）'
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]:
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line = line.replace(pun, ' ')
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for wrd in line.split():
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if (wrd[-1] == '-'):
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wrd = wrd[:-1]
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if (wrd[0] == "'"):
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wrd = wrd[1:]
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if wrd:
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words.append(wrd)
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ds = set([])
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with open(dictfile, 'r') as fid:
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for line in fid:
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ds.add(line.split()[0])
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unk_words = set([])
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with open(tmpbase + '.txt', 'w') as fwid:
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for wrd in words:
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if (wrd not in ds):
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unk_words.add(wrd)
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fwid.write(wrd + ' ')
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fwid.write('\n')
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return unk_words
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def prep_txt_en(line: str, tmpbase, dictfile):
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words = []
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line = line.strip()
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for pun in [',', '.', ':', ';', '!', '?', '"', '(', ')', '--', '---']:
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line = line.replace(pun, ' ')
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for wrd in line.split():
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if (wrd[-1] == '-'):
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wrd = wrd[:-1]
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if (wrd[0] == "'"):
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wrd = wrd[1:]
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if wrd:
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words.append(wrd)
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ds = set([])
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with open(dictfile, 'r') as fid:
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for line in fid:
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ds.add(line.split()[0])
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unk_words = set([])
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with open(tmpbase + '.txt', 'w') as fwid:
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for wrd in words:
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if (wrd.upper() not in ds):
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unk_words.add(wrd.upper())
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fwid.write(wrd + ' ')
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fwid.write('\n')
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#generate pronounciations for unknows words using 'letter to sound'
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with open(tmpbase + '_unk.words', 'w') as fwid:
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for unk in unk_words:
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fwid.write(unk + '\n')
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try:
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os.system(PHONEME + ' ' + tmpbase + '_unk.words' + ' ' + tmpbase +
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'_unk.phons')
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except Exception:
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print('english2phoneme error!')
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sys.exit(1)
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#add unknown words to the standard dictionary, generate a tmp dictionary for alignment
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fw = open(tmpbase + '.dict', 'w')
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with open(dictfile, 'r') as fid:
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for line in fid:
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fw.write(line)
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f = open(tmpbase + '_unk.words', 'r')
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lines1 = f.readlines()
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f.close()
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f = open(tmpbase + '_unk.phons', 'r')
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lines2 = f.readlines()
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f.close()
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for i in range(len(lines1)):
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wrd = lines1[i].replace('\n', '')
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phons = lines2[i].replace('\n', '').replace(' ', '')
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seq = []
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j = 0
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while (j < len(phons)):
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if (phons[j] > 'Z'):
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if (phons[j] == 'j'):
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seq.append('JH')
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elif (phons[j] == 'h'):
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seq.append('HH')
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else:
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seq.append(phons[j].upper())
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j += 1
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else:
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p = phons[j:j + 2]
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if (p == 'WH'):
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seq.append('W')
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elif (p in ['TH', 'SH', 'HH', 'DH', 'CH', 'ZH', 'NG']):
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seq.append(p)
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elif (p == 'AX'):
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seq.append('AH0')
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else:
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seq.append(p + '1')
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j += 2
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fw.write(wrd + ' ')
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for s in seq:
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fw.write(' ' + s)
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fw.write('\n')
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fw.close()
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def prep_mlf(txt: str, tmpbase: str):
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with open(tmpbase + '.mlf', 'w') as fwid:
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fwid.write('#!MLF!#\n')
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fwid.write('"' + tmpbase + '.lab"\n')
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fwid.write('sp\n')
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wrds = txt.split()
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for wrd in wrds:
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fwid.write(wrd.upper() + '\n')
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fwid.write('sp\n')
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fwid.write('.\n')
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def _get_user():
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return os.path.expanduser('~').split("/")[-1]
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def alignment(wav_path: str, text: str):
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'''
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intervals: List[phn, start, end]
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'''
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tmpbase = '/tmp/' + _get_user() + '_' + str(os.getpid())
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#prepare wav and trs files
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try:
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os.system('sox ' + wav_path + ' -r 16000 ' + tmpbase + '.wav remix -')
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except Exception:
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print('sox error!')
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return None
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#prepare clean_transcript file
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try:
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prep_txt_en(line=text, tmpbase=tmpbase, dictfile=MODEL_DIR_EN + '/dict')
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except Exception:
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print('prep_txt error!')
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return None
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#prepare mlf file
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try:
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with open(tmpbase + '.txt', 'r') as fid:
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txt = fid.readline()
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prep_mlf(txt, tmpbase)
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except Exception:
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print('prep_mlf error!')
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return None
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#prepare scp
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try:
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os.system(HCOPY + ' -C ' + MODEL_DIR_EN + '/16000/config ' + tmpbase +
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'.wav' + ' ' + tmpbase + '.plp')
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except Exception:
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print('HCopy error!')
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return None
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#run alignment
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try:
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os.system(HVITE + ' -a -m -t 10000.0 10000.0 100000.0 -I ' + tmpbase +
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'.mlf -H ' + MODEL_DIR_EN + '/16000/macros -H ' + MODEL_DIR_EN
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+ '/16000/hmmdefs -i ' + tmpbase + '.aligned ' + tmpbase +
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'.dict ' + MODEL_DIR_EN + '/monophones ' + tmpbase +
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'.plp 2>&1 > /dev/null')
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except Exception:
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print('HVite error!')
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return None
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with open(tmpbase + '.txt', 'r') as fid:
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words = fid.readline().strip().split()
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words = txt.strip().split()
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words.reverse()
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with open(tmpbase + '.aligned', 'r') as fid:
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lines = fid.readlines()
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i = 2
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intervals = []
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word2phns = {}
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current_word = ''
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index = 0
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while (i < len(lines)):
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splited_line = lines[i].strip().split()
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if (len(splited_line) >= 4) and (splited_line[0] != splited_line[1]):
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phn = splited_line[2]
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pst = (int(splited_line[0]) / 1000 + 125) / 10000
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pen = (int(splited_line[1]) / 1000 + 125) / 10000
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intervals.append([phn, pst, pen])
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# splited_line[-1]!='sp'
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if len(splited_line) == 5:
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current_word = str(index) + '_' + splited_line[-1]
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word2phns[current_word] = phn
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index += 1
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elif len(splited_line) == 4:
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word2phns[current_word] += ' ' + phn
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i += 1
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return intervals, word2phns
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def alignment_zh(wav_path: str, text: str):
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tmpbase = '/tmp/' + _get_user() + '_' + str(os.getpid())
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#prepare wav and trs files
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try:
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os.system('sox ' + wav_path + ' -r 16000 -b 16 ' + tmpbase +
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'.wav remix -')
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except Exception:
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print('sox error!')
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return None
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#prepare clean_transcript file
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try:
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unk_words = prep_txt_zh(
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line=text, tmpbase=tmpbase, dictfile=MODEL_DIR_ZH + '/dict')
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if unk_words:
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print('Error! Please add the following words to dictionary:')
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for unk in unk_words:
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print("非法words: ", unk)
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except Exception:
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print('prep_txt error!')
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return None
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#prepare mlf file
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try:
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with open(tmpbase + '.txt', 'r') as fid:
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txt = fid.readline()
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prep_mlf(txt, tmpbase)
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except Exception:
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print('prep_mlf error!')
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return None
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#prepare scp
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try:
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os.system(HCOPY + ' -C ' + MODEL_DIR_ZH + '/16000/config ' + tmpbase +
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'.wav' + ' ' + tmpbase + '.plp')
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except Exception:
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print('HCopy error!')
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return None
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#run alignment
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try:
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os.system(HVITE + ' -a -m -t 10000.0 10000.0 100000.0 -I ' + tmpbase +
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'.mlf -H ' + MODEL_DIR_ZH + '/16000/macros -H ' + MODEL_DIR_ZH
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+ '/16000/hmmdefs -i ' + tmpbase + '.aligned ' + MODEL_DIR_ZH
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+ '/dict ' + MODEL_DIR_ZH + '/monophones ' + tmpbase +
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'.plp 2>&1 > /dev/null')
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except Exception:
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print('HVite error!')
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return None
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with open(tmpbase + '.txt', 'r') as fid:
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words = fid.readline().strip().split()
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words = txt.strip().split()
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words.reverse()
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with open(tmpbase + '.aligned', 'r') as fid:
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lines = fid.readlines()
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i = 2
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intervals = []
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word2phns = {}
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current_word = ''
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index = 0
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while (i < len(lines)):
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splited_line = lines[i].strip().split()
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if (len(splited_line) >= 4) and (splited_line[0] != splited_line[1]):
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phn = splited_line[2]
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pst = (int(splited_line[0]) / 1000 + 125) / 10000
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pen = (int(splited_line[1]) / 1000 + 125) / 10000
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intervals.append([phn, pst, pen])
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# splited_line[-1]!='sp'
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if len(splited_line) == 5:
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current_word = str(index) + '_' + splited_line[-1]
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word2phns[current_word] = phn
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index += 1
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elif len(splited_line) == 4:
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word2phns[current_word] += ' ' + phn
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i += 1
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return intervals, word2phns
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