66 lines
1.9 KiB
Python
66 lines
1.9 KiB
Python
""" from https://github.com/keithito/tacotron """
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import re
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valid_symbols = [
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'AA', 'AA0', 'AA1', 'AA2', 'AE', 'AE0', 'AE1', 'AE2', 'AH', 'AH0', 'AH1', 'AH2',
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'AO', 'AO0', 'AO1', 'AO2', 'AW', 'AW0', 'AW1', 'AW2', 'AY', 'AY0', 'AY1', 'AY2',
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'B', 'CH', 'D', 'DH', 'EH', 'EH0', 'EH1', 'EH2', 'ER', 'ER0', 'ER1', 'ER2', 'EY',
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'EY0', 'EY1', 'EY2', 'F', 'G', 'HH', 'IH', 'IH0', 'IH1', 'IH2', 'IY', 'IY0', 'IY1',
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'IY2', 'JH', 'K', 'L', 'M', 'N', 'NG', 'OW', 'OW0', 'OW1', 'OW2', 'OY', 'OY0',
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'OY1', 'OY2', 'P', 'R', 'S', 'SH', 'T', 'TH', 'UH', 'UH0', 'UH1', 'UH2', 'UW',
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'UW0', 'UW1', 'UW2', 'V', 'W', 'Y', 'Z', 'ZH'
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]
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_valid_symbol_set = set(valid_symbols)
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class CMUDict:
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'''Thin wrapper around CMUDict data. http://www.speech.cs.cmu.edu/cgi-bin/cmudict'''
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def __init__(self, file_or_path, keep_ambiguous=True):
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if isinstance(file_or_path, str):
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with open(file_or_path, encoding='latin-1') as f:
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entries = _parse_cmudict(f)
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else:
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entries = _parse_cmudict(file_or_path)
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if not keep_ambiguous:
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entries = {word: pron for word, pron in entries.items() if len(pron) == 1}
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self._entries = entries
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def __len__(self):
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return len(self._entries)
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def lookup(self, word):
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'''Returns list of ARPAbet pronunciations of the given word.'''
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return self._entries.get(word.upper())
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_alt_re = re.compile(r'\([0-9]+\)')
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def _parse_cmudict(file):
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cmudict = {}
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for line in file:
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if len(line) and (line[0] >= 'A' and line[0] <= 'Z' or line[0] == "'"):
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parts = line.split(' ')
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word = re.sub(_alt_re, '', parts[0])
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pronunciation = _get_pronunciation(parts[1])
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if pronunciation:
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if word in cmudict:
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cmudict[word].append(pronunciation)
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else:
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cmudict[word] = [pronunciation]
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return cmudict
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def _get_pronunciation(s):
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parts = s.strip().split(' ')
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for part in parts:
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if part not in _valid_symbol_set:
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return None
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return ' '.join(parts)
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