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import os
import unittest
import torch
from tests import get_tests_output_path, run_cli
from TTS.config.shared_configs import BaseDatasetConfig
from TTS.tts.configs.vits_config import VitsConfig
torch.manual_seed(1)
config_path = os.path.join(get_tests_output_path(), "test_model_config.json")
dataset_config_en = BaseDatasetConfig(
formatter="ljspeech",
meta_file_train="metadata.csv",
meta_file_val="metadata.csv",
path="tests/data/ljspeech",
language="en",
)
"""
dataset_config_pt = BaseDatasetConfig(
formatter="ljspeech",
meta_file_train="metadata.csv",
meta_file_val="metadata.csv",
path="tests/data/ljspeech",
language="pt-br",
)
"""
# pylint: disable=protected-access
class TestFindUniquePhonemes(unittest.TestCase):
@staticmethod
def test_espeak_phonemes():
# prepare the config
config = VitsConfig(
batch_size=2,
eval_batch_size=2,
num_loader_workers=0,
num_eval_loader_workers=0,
text_cleaner="english_cleaners",
use_phonemes=True,
phoneme_language="en-us",
phoneme_cache_path="tests/data/ljspeech/phoneme_cache/",
run_eval=True,
test_delay_epochs=-1,
epochs=1,
print_step=1,
print_eval=True,
datasets=[dataset_config_en],
)
config.save_json(config_path)
# run test
run_cli(f'CUDA_VISIBLE_DEVICES="" python TTS/bin/find_unique_phonemes.py --config_path "{config_path}"')
@staticmethod
def test_no_espeak_phonemes():
# prepare the config
config = VitsConfig(
batch_size=2,
eval_batch_size=2,
num_loader_workers=0,
num_eval_loader_workers=0,
text_cleaner="english_cleaners",
use_phonemes=True,
phoneme_language="en-us",
phoneme_cache_path="tests/data/ljspeech/phoneme_cache/",
run_eval=True,
test_delay_epochs=-1,
epochs=1,
print_step=1,
print_eval=True,
datasets=[dataset_config_en],
)
config.save_json(config_path)
# run test
run_cli(f'CUDA_VISIBLE_DEVICES="" python TTS/bin/find_unique_phonemes.py --config_path "{config_path}"')
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