Spaces:
Runtime error
Runtime error
File size: 2,534 Bytes
9b2107c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
"""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()
|