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| """ This code is modified from https://github.com/keithito/tacotron """ |
| import re |
| from text import cleaners |
| from text.symbols import symbols |
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| |
| _symbol_to_id = {s: i for i, s in enumerate(symbols)} |
| _id_to_symbol = {i: s for i, s in enumerate(symbols)} |
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| |
| _curly_re = re.compile(r"(.*?)\{(.+?)\}(.*)") |
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|
| def text_to_sequence(text, cleaner_names): |
| """Converts a string of text to a sequence of IDs corresponding to the symbols in the text. |
| |
| The text can optionally have ARPAbet sequences enclosed in curly braces embedded |
| in it. For example, "Turn left on {HH AW1 S S T AH0 N} Street." |
| |
| Args: |
| text: string to convert to a sequence |
| cleaner_names: names of the cleaner functions to run the text through |
| |
| Returns: |
| List of integers corresponding to the symbols in the text |
| """ |
| sequence = [] |
|
|
| |
| while len(text): |
| m = _curly_re.match(text) |
|
|
| if not m: |
| sequence += _symbols_to_sequence(_clean_text(text, cleaner_names)) |
| break |
| sequence += _symbols_to_sequence(_clean_text(m.group(1), cleaner_names)) |
| sequence += _arpabet_to_sequence(m.group(2)) |
| text = m.group(3) |
| return sequence |
|
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|
|
| def sequence_to_text(sequence): |
| """Converts a sequence of IDs back to a string""" |
| result = "" |
| for symbol_id in sequence: |
| if symbol_id in _id_to_symbol: |
| s = _id_to_symbol[symbol_id] |
| |
| if len(s) > 1 and s[0] == "@": |
| s = "{%s}" % s[1:] |
| result += s |
| return result.replace("}{", " ") |
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|
|
| def _clean_text(text, cleaner_names): |
| for name in cleaner_names: |
| cleaner = getattr(cleaners, name) |
| if not cleaner: |
| raise Exception("Unknown cleaner: %s" % name) |
| text = cleaner(text) |
| return text |
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| def _symbols_to_sequence(symbols): |
| return [_symbol_to_id[s] for s in symbols if _should_keep_symbol(s)] |
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|
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| def _arpabet_to_sequence(text): |
| return _symbols_to_sequence(["@" + s for s in text.split()]) |
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| def _should_keep_symbol(s): |
| return s in _symbol_to_id and s != "_" and s != "~" |
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