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""" from https://github.com/keithito/tacotron """
import re
from text import cleaners
# Regular expression matching text enclosed in curly braces:
_curly_re = re.compile(r'(.*?)\{(.+?)\}(.*)')
def get_arpabet(word, dictionary):
word_arpabet = dictionary.lookup(word)
if word_arpabet is not None:
return "{" + word_arpabet[0] + "}"
else:
return word
def text_to_sequence(text, symbols, cleaner_names, dictionary=None):
'''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
dictionary: arpabet class with arpabet dictionary
Returns:
List of integers corresponding to the symbols in the text
'''
# Mappings from symbol to numeric ID and vice versa:
global _id_to_symbol, _symbol_to_id
_symbol_to_id = {s: i for i, s in enumerate(symbols)}
_id_to_symbol = {i: s for i, s in enumerate(symbols)}
sequence = []
space = _symbols_to_sequence(' ')
# Check for curly braces and treat their contents as ARPAbet:
while len(text):
m = _curly_re.match(text)
if not m:
clean_text = _clean_text(text, cleaner_names)
if dictionary is not None:
clean_text = [get_arpabet(w, dictionary) for w in clean_text.split(" ")]
for i in range(len(clean_text)):
t = clean_text[i]
if t.startswith("{"):
sequence += _arpabet_to_sequence(t[1:-1])
else:
sequence += _symbols_to_sequence(t)
sequence += space
else:
sequence += _symbols_to_sequence(clean_text)
break
sequence += _symbols_to_sequence(_clean_text(m.group(1), cleaner_names))
sequence += _arpabet_to_sequence(m.group(2))
text = m.group(3)
# remove trailing space
if dictionary is not None:
sequence = sequence[:-1] if sequence[-1] == space[0] else sequence
return sequence
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
def _symbols_to_sequence(symbols):
return [_symbol_to_id[s] for s in symbols if _should_keep_symbol(s)]
def _arpabet_to_sequence(text):
return _symbols_to_sequence(['@' + s for s in text.split()])
def _should_keep_symbol(s):
return s in _symbol_to_id and s is not '_' and s is not '~'