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# Copyright (c) 2023 Amphion. | |
# | |
# This source code is licensed under the MIT license found in the | |
# LICENSE file in the root directory of this source tree. | |
""" This code is modified from https://github.com/keithito/tacotron """ | |
import re | |
from text import cleaners | |
from text.symbols import symbols | |
# Mappings from symbol to numeric ID and vice versa: | |
_symbol_to_id = {s: i for i, s in enumerate(symbols)} | |
_id_to_symbol = {i: s for i, s in enumerate(symbols)} | |
# Regular expression matching text enclosed in curly braces: | |
_curly_re = re.compile(r"(.*?)\{(.+?)\}(.*)") | |
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 = [] | |
# Check for curly braces and treat their contents as ARPAbet: | |
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 | |
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] | |
# Enclose ARPAbet back in curly braces: | |
if len(s) > 1 and s[0] == "@": | |
s = "{%s}" % s[1:] | |
result += s | |
return result.replace("}{", " ") | |
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 != "_" and s != "~" | |