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"""Find all the unique characters in a dataset""" | |
import argparse | |
import multiprocessing | |
from argparse import RawTextHelpFormatter | |
from tqdm.contrib.concurrent import process_map | |
from TTS.config import load_config | |
from TTS.tts.datasets import load_tts_samples | |
from TTS.tts.utils.text.phonemizers import Gruut | |
def compute_phonemes(item): | |
text = item["text"] | |
ph = phonemizer.phonemize(text).replace("|", "") | |
return set(list(ph)) | |
def main(): | |
# pylint: disable=W0601 | |
global c, phonemizer | |
# pylint: disable=bad-option-value | |
parser = argparse.ArgumentParser( | |
description="""Find all the unique characters or phonemes in a dataset.\n\n""" | |
""" | |
Example runs: | |
python TTS/bin/find_unique_phonemes.py --config_path config.json | |
""", | |
formatter_class=RawTextHelpFormatter, | |
) | |
parser.add_argument("--config_path", type=str, help="Path to dataset config file.", required=True) | |
args = parser.parse_args() | |
c = load_config(args.config_path) | |
# load all datasets | |
train_items, eval_items = load_tts_samples( | |
c.datasets, eval_split=True, eval_split_max_size=c.eval_split_max_size, eval_split_size=c.eval_split_size | |
) | |
items = train_items + eval_items | |
print("Num items:", len(items)) | |
language_list = [item["language"] for item in items] | |
is_lang_def = all(language_list) | |
if not c.phoneme_language or not is_lang_def: | |
raise ValueError("Phoneme language must be defined in config.") | |
if not language_list.count(language_list[0]) == len(language_list): | |
raise ValueError( | |
"Currently, just one phoneme language per config file is supported !! Please split the dataset config into different configs and run it individually for each language !!" | |
) | |
phonemizer = Gruut(language=language_list[0], keep_puncs=True) | |
phonemes = process_map(compute_phonemes, items, max_workers=multiprocessing.cpu_count(), chunksize=15) | |
phones = [] | |
for ph in phonemes: | |
phones.extend(ph) | |
phones = set(phones) | |
lower_phones = filter(lambda c: c.islower(), phones) | |
phones_force_lower = [c.lower() for c in phones] | |
phones_force_lower = set(phones_force_lower) | |
print(f" > Number of unique phonemes: {len(phones)}") | |
print(f" > Unique phonemes: {''.join(sorted(phones))}") | |
print(f" > Unique lower phonemes: {''.join(sorted(lower_phones))}") | |
print(f" > Unique all forced to lower phonemes: {''.join(sorted(phones_force_lower))}") | |
if __name__ == "__main__": | |
main() | |