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""" from https://github.com/keithito/tacotron """ | |
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)} | |
def text_to_sequence(text, symbols, cleaner_names): | |
'''Converts a string of text to a sequence of IDs corresponding to the symbols in the text. | |
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 = [] | |
symbol_to_id = {s: i for i, s in enumerate(symbols)} | |
clean_text = _clean_text(text, cleaner_names) | |
print(clean_text) | |
print(f" length:{len(clean_text)}") | |
for symbol in clean_text: | |
if symbol not in symbol_to_id.keys(): | |
continue | |
symbol_id = symbol_to_id[symbol] | |
sequence += [symbol_id] | |
print(f" length:{len(sequence)}") | |
return sequence | |
def cleaned_text_to_sequence(cleaned_text, symbols): | |
'''Converts a string of text to a sequence of IDs corresponding to the symbols in the text. | |
Args: | |
text: string to convert to a sequence | |
Returns: | |
List of integers corresponding to the symbols in the text | |
''' | |
symbol_to_id = {s: i for i, s in enumerate(symbols)} | |
sequence = [symbol_to_id[symbol] for symbol in cleaned_text if symbol in symbol_to_id.keys()] | |
return sequence | |
from text.symbols import language_tone_start_map | |
def cleaned_text_to_sequence_vits2(cleaned_text, tones, language, symbols, languages): | |
"""Converts a string of text to a sequence of IDs corresponding to the symbols in the text. | |
Args: | |
text: string to convert to a sequence | |
Returns: | |
List of integers corresponding to the symbols in the text | |
""" | |
symbol_to_id = {s: i for i, s in enumerate(symbols)} | |
language_id_map = {s: i for i, s in enumerate(languages)} | |
phones = [symbol_to_id[symbol] for symbol in cleaned_text] | |
tone_start = language_tone_start_map[language] | |
tones = [i + tone_start for i in tones] | |
lang_id = language_id_map[language] | |
lang_ids = [lang_id for i in phones] | |
return phones, tones, lang_ids | |
def sequence_to_text(sequence): | |
'''Converts a sequence of IDs back to a string''' | |
result = '' | |
for symbol_id in sequence: | |
s = _id_to_symbol[symbol_id] | |
result += s | |
return result | |
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 | |