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!!")
def test_common_voice_preprocessor(self):
root_path = get_tests_input_path()
meta_file = "common_voice.tsv"
items = common_voice(root_path, meta_file)
assert items[0][0] == "Man sollte den Länderfinanzausgleich durch " \
"einen Bundesliga-Soli ersetzen."
assert items[0][1] == os.path.join(get_tests_input_path(), "clips",
"21fce545b24d9a5af0403b949e95e8dd3"
"c10c4ff3e371f14e4d5b4ebf588670b7c"
"9e618285fc872d94a89ed7f0217d9019f"
"e5de33f1577b49dcd518eacf63c4b.wav")
assert items[-1][0] == "Warum werden da keine strafrechtlichen " \
"Konsequenzen gezogen?"
assert items[-1][1] == os.path.join(get_tests_input_path(), "clips",
"ad2f69e053b0e20e01c82b9821fe5787f1"
"cc8e4b0b97f0e4cab1e9a652c577169c82"
"44fb222281a60ee3081854014113e04c4c"
"a43643100b7c01dab0fac11974.wav")
def test_scaler(self):
scaler_stats_path = os.path.join(get_tests_input_path(),
'scale_stats.npy')
conf.audio['stats_path'] = scaler_stats_path
conf.audio['preemphasis'] = 0.0
conf.audio['do_trim_silence'] = True
conf.audio['signal_norm'] = True
ap = AudioProcessor(**conf.audio)
mel_mean, mel_std, linear_mean, linear_std, _ = ap.load_stats(
scaler_stats_path)
ap.setup_scaler(mel_mean, mel_std, linear_mean, linear_std)
self.ap.signal_norm = False
self.ap.preemphasis = 0.0
# test scaler forward and backward transforms
wav = self.ap.load_wav(WAV_FILE)
mel_reference = self.ap.melspectrogram(wav)
mel_norm = ap.melspectrogram(wav)
mel_denorm = ap._denormalize(mel_norm)
assert abs(mel_reference - mel_denorm).max() < 1e-4
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