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import os
import platform
from pathlib import Path
from torchaudio.datasets import tedlium
from torchaudio_unittest.common_utils import get_whitenoise, save_wav, skipIfNoSox, TempDirMixin, TorchaudioTestCase
# Used to generate a unique utterance for each dummy audio file
_UTTERANCES = [
"AaronHuey_2010X 1 AaronHuey_2010X 0.0 2.0 <o,f0,female> script1\n",
"AaronHuey_2010X 1 AaronHuey_2010X 2.0 4.0 <o,f0,female> script2\n",
"AaronHuey_2010X 1 AaronHuey_2010X 4.0 6.0 <o,f0,female> script3\n",
"AaronHuey_2010X 1 AaronHuey_2010X 6.0 8.0 <o,f0,female> script4\n",
"AaronHuey_2010X 1 AaronHuey_2010X 8.0 10.0 <o,f0,female> script5\n",
]
_PHONEME = [
"a AH",
"a(2) EY",
"aachen AA K AH N",
"aad AE D",
"aaden EY D AH N",
"aadmi AE D M IY",
"aae EY EY",
]
def get_mock_dataset(dataset_dir):
"""
dataset_dir: directory of the mocked dataset
"""
mocked_samples = {}
os.makedirs(dataset_dir, exist_ok=True)
sample_rate = 16000 # 16kHz
seed = 0
for release in ["release1", "release2", "release3"]:
data = get_whitenoise(sample_rate=sample_rate, duration=10.00, n_channels=1, dtype="float32", seed=seed)
if release in ["release1", "release2"]:
release_dir = os.path.join(
dataset_dir,
tedlium._RELEASE_CONFIGS[release]["folder_in_archive"],
tedlium._RELEASE_CONFIGS[release]["subset"],
)
else:
release_dir = os.path.join(
dataset_dir,
tedlium._RELEASE_CONFIGS[release]["folder_in_archive"],
tedlium._RELEASE_CONFIGS[release]["data_path"],
)
os.makedirs(release_dir, exist_ok=True)
os.makedirs(os.path.join(release_dir, "stm"), exist_ok=True) # Subfolder for transcripts
os.makedirs(os.path.join(release_dir, "sph"), exist_ok=True) # Subfolder for audio files
filename = f"{release}.sph"
path = os.path.join(os.path.join(release_dir, "sph"), filename)
save_wav(path, data, sample_rate)
trans_filename = f"{release}.stm"
trans_path = os.path.join(os.path.join(release_dir, "stm"), trans_filename)
with open(trans_path, "w") as f:
f.write("".join(_UTTERANCES))
dict_filename = f"{release}.dic"
dict_path = os.path.join(release_dir, dict_filename)
with open(dict_path, "w") as f:
f.write("\n".join(_PHONEME))
# Create a samples list to compare with
mocked_samples[release] = []
for utterance in _UTTERANCES:
talk_id, _, speaker_id, start_time, end_time, identifier, transcript = utterance.split(" ", 6)
start_time = int(float(start_time)) * sample_rate
end_time = int(float(end_time)) * sample_rate
sample = (
data[:, start_time:end_time],
sample_rate,
transcript,
talk_id,
speaker_id,
identifier,
)
mocked_samples[release].append(sample)
seed += 1
return mocked_samples
class Tedlium(TempDirMixin):
root_dir = None
samples = {}
@classmethod
def setUpClass(cls):
cls.root_dir = cls.get_base_temp_dir()
cls.root_dir = dataset_dir = os.path.join(cls.root_dir, "tedlium")
cls.samples = get_mock_dataset(dataset_dir)
def _test_tedlium(self, dataset, release):
num_samples = 0
for i, (data, sample_rate, transcript, talk_id, speaker_id, identifier) in enumerate(dataset):
self.assertEqual(data, self.samples[release][i][0], atol=5e-5, rtol=1e-8)
assert sample_rate == self.samples[release][i][1]
assert transcript == self.samples[release][i][2]
assert talk_id == self.samples[release][i][3]
assert speaker_id == self.samples[release][i][4]
assert identifier == self.samples[release][i][5]
num_samples += 1
assert num_samples == len(self.samples[release])
dataset._dict_path = os.path.join(dataset._path, f"{release}.dic")
phoneme_dict = dataset.phoneme_dict
phoenemes = [f"{key} {' '.join(value)}" for key, value in phoneme_dict.items()]
assert phoenemes == _PHONEME
def test_tedlium_release1_str(self):
release = "release1"
dataset = tedlium.TEDLIUM(self.root_dir, release=release)
self._test_tedlium(dataset, release)
def test_tedlium_release1_path(self):
release = "release1"
dataset = tedlium.TEDLIUM(Path(self.root_dir), release=release)
self._test_tedlium(dataset, release)
def test_tedlium_release2(self):
release = "release2"
dataset = tedlium.TEDLIUM(self.root_dir, release=release)
self._test_tedlium(dataset, release)
def test_tedlium_release3(self):
release = "release3"
dataset = tedlium.TEDLIUM(self.root_dir, release=release)
self._test_tedlium(dataset, release)
class TestTedliumSoundfile(Tedlium, TorchaudioTestCase):
backend = "soundfile"
if platform.system() != "Windows":
@skipIfNoSox
class TestTedliumSoxIO(Tedlium, TorchaudioTestCase):
backend = "sox_io"
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