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A10G
""" from https://github.com/keithito/tacotron """ | |
import utils.g2p.cleaners | |
from utils.g2p.symbols import symbols | |
from tokenizers import Tokenizer | |
# 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)} | |
class PhonemeBpeTokenizer: | |
def __init__(self, tokenizer_path = "./utils/g2p/bpe_1024.json"): | |
self.tokenizer = Tokenizer.from_file(tokenizer_path) | |
def tokenize(self, text): | |
# 1. convert text to phoneme | |
phonemes, langs = _clean_text(text, ['cje_cleaners']) | |
# 2. replace blank space " " with "_" | |
phonemes = phonemes.replace(" ", "_") | |
# 3. tokenize phonemes | |
phoneme_tokens = self.tokenizer.encode(phonemes).ids | |
assert(len(phoneme_tokens) == len(langs)) | |
if not len(phoneme_tokens): | |
raise ValueError("Empty text is given") | |
return phoneme_tokens, langs | |
def text_to_sequence(text, 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) | |
for symbol in clean_text: | |
if symbol not in symbol_to_id.keys(): | |
continue | |
symbol_id = symbol_to_id[symbol] | |
sequence += [symbol_id] | |
return sequence | |
def cleaned_text_to_sequence(cleaned_text): | |
'''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 | |
''' | |
sequence = [_symbol_to_id[symbol] for symbol in cleaned_text if symbol in _symbol_to_id.keys()] | |
return sequence | |
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, langs = cleaner(text) | |
return text, langs | |