def _create_random_model(self):
config = load_config(
os.path.join(get_tests_output_path(), 'dummy_model_config.json'))
num_chars = len(phonemes) if config.use_phonemes else len(symbols)
model = setup_model(num_chars, 0, config)
output_path = os.path.join(get_tests_output_path())
save_checkpoint(model, None, None, None, output_path, 10, 10)
def _create_random_model(self):
# pylint: disable=global-statement
global symbols, phonemes
config = load_config(
os.path.join(get_tests_output_path(), 'dummy_model_config.json'))
if 'characters' in config.keys():
symbols, phonemes = make_symbols(**config.characters)
num_chars = len(phonemes) if config.use_phonemes else len(symbols)
model = setup_model(num_chars, 0, config)
output_path = os.path.join(get_tests_output_path())
save_checkpoint(model, None, None, None, output_path, 10, 10)
def test_in_out(self):
self._create_random_model()
config = load_config(
os.path.join(get_tests_input_path(), 'server_config.json'))
config['tts_path'] = get_tests_output_path()
synthesizer = Synthesizer(config)
synthesizer.tts("Better this test works!!")
import os
import unittest
from TTS.tests import get_tests_path, get_tests_input_path, get_tests_output_path
from TTS.utils.audio import AudioProcessor
from TTS.utils.generic_utils import load_config
TESTS_PATH = get_tests_path()
OUT_PATH = os.path.join(get_tests_output_path(), "audio_tests")
WAV_FILE = os.path.join(get_tests_input_path(), "example_1.wav")
os.makedirs(OUT_PATH, exist_ok=True)
conf = load_config(os.path.join(TESTS_PATH, 'test_config.json'))
class TestAudio(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(TestAudio, self).__init__(*args, **kwargs)
self.ap = AudioProcessor(**conf.audio)
def test_audio_synthesis(self):
""" 1. load wav
2. set normalization parameters
3. extract mel-spec
4. invert to wav and save the output
"""
print(" > Sanity check for the process wav -> mel -> wav")
def _test(max_norm, signal_norm, symmetric_norm, clip_norm):
self.ap.max_norm = max_norm
self.ap.signal_norm = signal_norm
