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""" 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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