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}"')