Add script to generate deterministic samples and hashes
This commit is contained in:
Michael Hansen
parent
503126da4a
commit
b446579e4f
9 changed files with 595 additions and 2 deletions
6
.isort.cfg
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6
.isort.cfg
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@ -0,0 +1,6 @@
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[settings]
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multi_line_output=3
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include_trailing_comma=True
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force_grid_wrap=0
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use_parentheses=True
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line_length=88
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20
check.sh
20
check.sh
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@ -23,6 +23,26 @@ set -eo pipefail
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# Directory of *this* script
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this_dir="$( cd "$( dirname "$0" )" && pwd )"
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# Path to virtual environment
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: "${venv:=${base_dir}/.venv}"
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if [ -d "${venv}" ]; then
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# Activate virtual environment if available
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source "${venv}/bin/activate"
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fi
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python_files=("${this_dir}/tests"/*.py)
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# Format code
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black "${python_files[@]}"
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isort "${python_files[@]}"
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# Check
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flake8 "${python_files[@]}"
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pylint "${python_files[@]}"
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mypy "${python_files[@]}"
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# Check submodules
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script_name='check.sh'
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find "${this_dir}" -mindepth 2 -maxdepth 2 -name "${script_name}" -type f | \
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@ -51,6 +51,49 @@
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],
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"properties": {}
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},
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"de_DE/thorsten-emotion_low": {
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"files": {
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"LICENSE": {
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"size_bytes": 31,
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"sha256_sum": "19b4afb2e1c2c9f2cb07da14acd2d34098a4e11c13fccb09356845c4748fb50c"
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},
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"SOURCE": {
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"size_bytes": 28,
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"sha256_sum": "f351b9304a8fa1e6e58db9b3411f92387e192bb4b57fcbe3e8f839424b13f3c8"
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},
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"config.json": {
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"size_bytes": 3756,
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"sha256_sum": "e0ae97001a4a9b69040f4531de804b08ec865223bab807310652852fafdad909"
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},
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"generator.onnx": {
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"size_bytes": 76346209,
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"sha256_sum": "164defc5bffcf739996b04855a6a0c76b600b44f73dfe4801d24e838eea5e112"
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},
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"phonemes.txt": {
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"size_bytes": 339,
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"sha256_sum": "4820e701ece71e34c5d32f9640db6b103391093943ac071c001222d27b891e5f"
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},
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"speaker_map.csv": {
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"size_bytes": 222,
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"sha256_sum": "371546cc49cefe755562da2e8404ae857206e6593fa777f70860bf1fff070b89"
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},
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"speakers.txt": {
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"size_bytes": 62,
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"sha256_sum": "b12e946f3867f124f3d07c48a13362edda6564fa91b13e46aba6dee41193f4aa"
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}
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},
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"speakers": [
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"amused",
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"angry",
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"disgusted",
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"drunk",
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"neutral",
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"sleepy",
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"surprised",
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"whisper"
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],
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"properties": {}
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},
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"de_DE/thorsten_low": {
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"files": {
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"ALIASES": {
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@ -556,6 +599,10 @@
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},
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"fa/haaniye_low": {
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"files": {
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"ALIASES": {
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"size_bytes": 11,
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"sha256_sum": "9d5c7cf903a22b8d0d3f4768583664b2533ba4252367d8d6892ca4e398a811bc"
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},
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"LICENSE": {
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"size_bytes": 5,
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"sha256_sum": "958246282e394a96727515ee6d834073ea09314be61a5730d03bf6d540ae0c26"
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@ -1 +1 @@
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0.1.0
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0.1.1
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@ -243,7 +243,7 @@ class TextToSpeechSystem(AbstractContextManager, metaclass=ABCMeta):
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"""Begins a new utterance"""
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@abstractmethod
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def speak_text(self, text: str):
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def speak_text(self, text: str, text_language: typing.Optional[str] = None):
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"""Speaks text using the underlying system's tokenization mechanism.
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Becomes an AudioResult in end_utterance()
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@ -276,3 +276,40 @@ class TextToSpeechSystem(AbstractContextManager, metaclass=ABCMeta):
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Returns an iterable of results (audio, marks, etc.)
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"""
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def text_to_wav(
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self, text: str, text_language: typing.Optional[str] = None
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) -> bytes:
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"""Synthesize text with current voice settings and return WAV audio"""
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with io.BytesIO() as wav_io:
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wav_file: wave.Wave_write = wave.open(wav_io, "wb")
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wav_params_set = False
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with wav_file:
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try:
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self.begin_utterance()
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self.speak_text(text, text_language=text_language)
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results = self.end_utterance()
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for result in results:
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# Add audio to existing WAV file
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if isinstance(result, AudioResult):
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if not wav_params_set:
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wav_file.setframerate(result.sample_rate_hz)
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wav_file.setsampwidth(result.sample_width_bytes)
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wav_file.setnchannels(result.num_channels)
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wav_params_set = True
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wav_file.writeframes(result.audio_bytes)
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except Exception as e:
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if not wav_params_set:
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# Set default parameters so exception can propagate
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wav_file.setframerate(22050)
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wav_file.setsampwidth(2)
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wav_file.setnchannels(1)
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raise e
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wav_bytes = wav_io.getvalue()
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return wav_bytes
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40
pylintrc
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40
pylintrc
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@ -0,0 +1,40 @@
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[MESSAGES CONTROL]
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disable=
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format,
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abstract-class-little-used,
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abstract-method,
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cyclic-import,
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duplicate-code,
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global-statement,
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import-outside-toplevel,
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inconsistent-return-statements,
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locally-disabled,
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not-context-manager,
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redefined-variable-type,
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too-few-public-methods,
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too-many-arguments,
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too-many-branches,
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too-many-instance-attributes,
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too-many-lines,
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too-many-locals,
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too-many-public-methods,
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too-many-return-statements,
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too-many-statements,
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too-many-boolean-expressions,
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unnecessary-pass,
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unused-argument,
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broad-except,
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too-many-nested-blocks,
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invalid-name,
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unused-import,
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no-self-use,
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fixme,
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useless-super-delegation,
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missing-module-docstring,
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missing-class-docstring,
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missing-function-docstring,
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import-error,
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relative-beyond-top-level
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[FORMAT]
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expected-line-ending-format=LF
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26
setup.cfg
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26
setup.cfg
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@ -0,0 +1,26 @@
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[flake8]
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# To work with Black
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max-line-length = 88
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# E501: line too long
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# W503: Line break occurred before a binary operator
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# E203: Whitespace before ':'
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# D202 No blank lines allowed after function docstring
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# W504 line break after binary operator
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ignore =
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E501,
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W503,
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E203,
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D202,
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W504
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# F401 import unused
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per-file-ignores =
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mimic3_tts/__init__.py:F401
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[isort]
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multi_line_output = 3
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include_trailing_comma=True
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force_grid_wrap=0
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use_parentheses=True
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line_length=88
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indent = " "
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177
tests/get_sample_hashes.py
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177
tests/get_sample_hashes.py
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@ -0,0 +1,177 @@
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#!/usr/bin/env python3
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# Copyright 2022 Mycroft AI Inc.
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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"""
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Generates sha256 hashs of audio samples for all languages/voices.
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"""
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import argparse
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import contextlib
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import functools
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import hashlib
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import logging
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import re
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import tempfile
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import typing
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from multiprocessing import Pool
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from pathlib import Path
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from mimic3_tts import Mimic3Settings, Mimic3TextToSpeechSystem, Voice
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# -----------------------------------------------------------------------------
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_TEST_SENTENCES = {
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"de": """Der Regenbogen ist ein atmosphärisch-optisches Phänomen, das als
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kreisbogenförmiges farbiges Lichtband in einer von der Sonne
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beschienenen Regenwand oder -wolke wahrgenommen wird.""",
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"en": """A rainbow is a meteorological phenomenon that is caused by
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reflection, refraction and dispersion of light in water droplets
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resulting in a spectrum of light appearing in the sky.""",
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"el": """Οι επιστήμονες μελετούν ακόμη το ουράνιο τόξο.""",
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"es": """Un arcoíris o arco iris es un fenómeno óptico y meteorológico que
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consiste en la aparición en el cielo de un arco de luz multicolor,
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originado por la descomposición de la luz solar en el espectro visible,
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la cual se produce por refracción, cuando los rayos del sol atraviesan
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pequeñas gotas de agua contenidas en la atmósfera terrestre.""",
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"fa": """برای دیگر کاربردها رنگینکمان (ابهامزدایی) را ببینید.""",
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"fi": """Sateenkaari on spektrin väreissä esiintyvä ilmakehän optinen ilmiö.""",
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"fr": """Un arc-en-ciel est un photométéore, un phénomène optique se
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produisant dans le ciel, visible dans la direction opposée au Soleil
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quand il brille pendant la pluie.""",
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"hu": """A szivárvány olyan optikai jelenség, melyet eső- vagy páracseppek
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okoznak, mikor a fény prizmaszerűen megtörik rajtuk és színeire bomlik,
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kialakul a színképe, más néven spektruma.""",
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"it": """In fisica dell'atmosfera e meteorologia l'arcobaleno è un fenomeno
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ottico atmosferico che produce uno spettro quasi continuo di luce nel
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cielo quando la luce del Sole attraversa le gocce d'acqua rimaste in
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sospensione dopo un temporale, o presso una cascata o una fontana.""",
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"ko": """무지개(문화어: 색동다리)는 하늘에 보이는 호(弧)를 이루는 색 띠를 말한다.""",
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"nl": """Een regenboog is een gekleurde cirkelboog die aan de hemel
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waargenomen kan worden als de, laagstaande, zon tegen een nevel van
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waterdruppeltjes aan schijnt en de zon zich achter de waarnemer bevindt.""",
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"pt": """Um arco-íris, também popularmente denominado arco-da-velha, é um
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fenômeno óptico e meteorológico que separa a luz do sol em seu espectro
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contínuo quando o sol brilha sobre gotículas de água suspensas no ar.""",
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"ru": """Ра́дуга, атмосферное, оптическое и метеорологическое явление,
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наблюдаемое при освещении ярким источником света множества водяных
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капель.""",
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"sv": """En regnbåge är ett optiskt, meteorologiskt fenomen som uppträder som
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ett fullständigt ljusspektrum i form av en båge på himlen då solen lyser
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på nedfallande regn.""",
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"sw": """Upinde wa mvua ni tao la rangi mbalimbali angani ambalo linaweza
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kuonekana wakati Jua huangaza kupitia matone ya mvua inayoanguka.""",
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"te": """ఇంద్ర ధనుస్సు దృష్టి విద్యా సంబంధమయిన వాతావరణ శాస్త్ర సంబంధమయిన దృగ్విషయం.""",
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"uk": """Весе́лка, також ра́йдуга оптичне явище в атмосфері, що являє собою
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одну, дві чи декілька різнокольорових дуг (або кіл, якщо дивитися з
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повітря), що спостерігаються на тлі хмари, якщо вона розташована проти
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Сонця. Червоний колір ми бачимо з зовнішнього боку первинної веселки, а
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фіолетовий — із внутрішнього.""",
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"vi": """Cầu vồng hay mống cũng như quang phổ là hiện tượng tán sắc của các
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ánh sáng từ Mặt Trời khi khúc xạ và phản xạ qua các giọt nước mưa.""",
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"yo": """E̟nì kò̟ò̟kan ló ní è̟tó̟ láti kó̟ è̟kó̟.""",
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}
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_LOGGER = logging.getLogger("get_samples")
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# -----------------------------------------------------------------------------
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def synthesize(output_dir: Path, voice: Voice) -> typing.Iterable[str]:
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"""Generate samples for voice in a separate process"""
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tts = Mimic3TextToSpeechSystem(
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Mimic3Settings(
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length_scale=1.0,
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noise_scale=0.0,
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noise_w=0.0,
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use_deterministic_compute=True,
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)
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)
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key = voice.key
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language = voice.language
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speakers = voice.speakers or [""]
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# Try en_US and en
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text = _TEST_SENTENCES.get(language, _TEST_SENTENCES.get(language.split("_")[0]))
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assert text, f"No sentences for {language}"
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# Normalize whitespace
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text = re.sub(r"\s+", " ", text)
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voice_dir = output_dir / key
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voice_dir.mkdir(parents=True, exist_ok=True)
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results = []
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for speaker in sorted(speakers):
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if speaker:
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# Multi-speaker
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voice_key = f"{key}#{speaker}"
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sample_path = voice_dir / f"sample_{speaker}.wav"
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else:
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# Single speaker
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voice_key = key
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sample_path = voice_dir / "sample.wav"
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if not sample_path.is_file():
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tts.voice = voice_key
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wav_bytes = tts.text_to_wav(text)
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sample_path.write_bytes(wav_bytes)
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wav_hash = hashlib.sha256(sample_path.read_bytes()).hexdigest()
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_LOGGER.info(sample_path)
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results.append(f"{voice_key} {wav_hash}")
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return results
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# -----------------------------------------------------------------------------
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def main():
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"""Generate WAV samples from Mimic 3 in deterministic mode for testing"""
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parser = argparse.ArgumentParser()
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parser.add_argument("--output-dir", help="Directory to write samples")
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args = parser.parse_args()
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logging.basicConfig(level=logging.INFO)
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if args.output_dir:
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output_dir = Path(args.output_dir)
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output_dir.mkdir(parents=True, exist_ok=True)
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temp_dir = contextlib.nullcontext()
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else:
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# Output to temp directory
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temp_dir = tempfile.TemporaryDirectory()
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output_dir = Path(temp_dir.name)
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tts = Mimic3TextToSpeechSystem(Mimic3Settings())
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# -------------------------------------------------------------------------
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# Generate samples
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# -------------------------------------------------------------------------
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with temp_dir, Pool() as pool:
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voices = sorted(tts.get_voices(), key=lambda v: v.key)
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for results in pool.map(functools.partial(synthesize, output_dir), voices):
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for result in results:
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print(result)
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# -----------------------------------------------------------------------------
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if __name__ == "__main__":
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main()
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240
tests/sample_hashs.txt
Normal file
240
tests/sample_hashs.txt
Normal file
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@ -0,0 +1,240 @@
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de_DE/m-ailabs_low#angela_merkel 925ecfaaca6464841a1fae921d4571ee721936e9b60cfdd0682a369bae8f3a81
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de_DE/m-ailabs_low#eva_k f4b82be8e062aed428873050e159cf2f77f9e7c22165f8d769a8d8d176b0deb6
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de_DE/m-ailabs_low#karlsson ef726754d3f15764839fbbaf4d647456cea177b4204a740f8a32a2e599acc96b
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de_DE/m-ailabs_low#ramona_deininger eafcf586b582c5ffb58c373a62e34c2e35d3b4b5d9d49288dabfacb50bc4fa8c
|
||||
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en_US/vctk_low#p361 201b68a61ab6f41c63446661cca56fe52588a5093da31897e7717daba298b9f1
|
||||
en_US/vctk_low#p362 08eec6f2557d64c0d70634421c1212ad43023dddfafafa16ca358978826f613c
|
||||
en_US/vctk_low#p363 7a9438a3f42921bb63921b5e32b3876c54113d789a85a8666dc70190d422fe49
|
||||
en_US/vctk_low#p364 7cbd7497566f6e0141563d93344a70529ff2f6bfd4f382ab7c5adac2986bfc0b
|
||||
en_US/vctk_low#p374 d1832475f7a1f7ee478726360bd936112c97600118ccd1143bbd0bba791e841a
|
||||
en_US/vctk_low#p376 79a65a8c3045737645da137145bcc7b76340804b466b932ec07c7cf0a12370e4
|
||||
en_US/vctk_low#s5 3e63e29eab1d4a42b8e1f57c9453c1b7bb071e33707cbb6bbafa1fa69bfc05f6
|
||||
es_ES/carlfm_low 31fa1c7343ac08ae1e5084ced180c8ec6334f5f39d743b46857e0baf7f668a6e
|
||||
es_ES/m-ailabs_low#karen_savage 578db4ce2a81ced232ef6d7e7bc7f894b91e49adb0f982782a64c5ea26649c37
|
||||
es_ES/m-ailabs_low#tux 8bf16f67ad6b86c2006fbc9da5d42b6b70090550672139093dd39eee0be9ae22
|
||||
es_ES/m-ailabs_low#victor_villarraza f26b5bfbf2421dbf5dd5562544876d688729b0bff339bc5c994c425629eb165b
|
||||
fa/haaniye_low 8157477b0d75cd234815275d79ea7b58a71c39cacda63b4157e062f7e35b4e10
|
||||
fi_FI/harri-tapani-ylilammi_low 743c357c0b59fc9fa24ad2943a224c7850db533b40b9c2d68f0e00c395c965c4
|
||||
fr_FR/m-ailabs_low#bernard 13a4de9f10fbc60b311dec8b2cf21ed1c353f1373dac39e352e584c5dd4e1c1c
|
||||
fr_FR/m-ailabs_low#ezwa 4b1770b7429c8b3a9faf4d452ac99c3c0360d420a1bbc6551bf1437d9627bd2d
|
||||
fr_FR/m-ailabs_low#gilles_g_le_blanc a39d0378d281a9bd82f1d2a0f61074219c96d5a2cc04bb5af388b29ad493b5ac
|
||||
fr_FR/m-ailabs_low#nadine_eckert_boulet dbd6364b6f85ac58e288fe38754bf0c57e9ba2c9ff6c68d160920c06de4f8315
|
||||
fr_FR/m-ailabs_low#zeckou 1e32db3a52c3124dba698ec2adfbdb9a25d1ae16f9c875dc87f1177a4d1b4ece
|
||||
fr_FR/siwis_low 2103220387acb0774586f581b61780275abd1bc3ca54df070273471153291b92
|
||||
fr_FR/tom_low b2d59d6484a6e3850f0cd81c2287cab674085c7185e553dfd3852a81d918d2d6
|
||||
hu_HU/diana-majlinger_low 80b33323d8693344f736db16663aefd3dcd60086bdecfe2b02e7605aeb4f4c47
|
||||
it_IT/mls_low#10446 11cfbb7260a9be3d58f919065aad0e463ca0313c4841a213ad0fd5e4480257d6
|
||||
it_IT/mls_low#1157 a2f3f345dc34b05973a4304c6c88b3d548d6d351b905de05ff77e87fab2f31d7
|
||||
it_IT/mls_low#12428 a7b198a5a3234e07cab4d69cbda6bee9d30b370ecc7cf29afd2955ef3c9cdfca
|
||||
it_IT/mls_low#12804 8a96cf7e1e76310bb4600566ab5818ecf87de5f46b8273d3443ec18ebc7e038b
|
||||
it_IT/mls_low#1595 ee2fd9bfb3a8dad8ca8d38e680e26c93c8bc9103727c7dc58a822fe14c851a6e
|
||||
it_IT/mls_low#1725 3485abfec0a2b00ce5e8dcff9fa0b7cc8a8116e3638b8b71a07d2ddb5c5102e6
|
||||
it_IT/mls_low#1989 18a25c71bb95ca7fc1736cb9d462efb27eefed522ebcdeb25c6f042dd3224593
|
||||
it_IT/mls_low#2019 5202ced40c4d4c0880b35663c12133465f21288f8700fe7f4cd1c4b9863d5032
|
||||
it_IT/mls_low#2033 4ab2986931afedcd89616250f6200efb4631a59d098e3eea2d8551328603ee98
|
||||
it_IT/mls_low#277 84ddbef5c511fe94603db4a26859b532a98fec3573e934b896344128a527a93d
|
||||
it_IT/mls_low#4649 e8bac74a1af1a0bc41a340875aa306b086799f2dca80ef50110fe9ead3c3012b
|
||||
it_IT/mls_low#4705 07cceff01f30b6779b7ad3f86684a05e356e1ac639b5a7add35ce493d76222a2
|
||||
it_IT/mls_low#4971 0b193b36bba7001fce34229ff75707cf7974417903a7039d0a8812daf5e6f974
|
||||
it_IT/mls_low#4974 bd542ef798e0321f84f827c4768976a010af6efc53ec211f6eca9d461185d538
|
||||
it_IT/mls_low#4975 f5c212dc91012bb0a4b742c5d1d9ae54bab18d35b4896b66bcdc7a2ae53cf4d5
|
||||
it_IT/mls_low#4998 3c8d9d73c21ae112a5639f58e632ff8d473768543cb2080c28e36b001dd284f0
|
||||
it_IT/mls_low#5010 6c38d720c86a41915f860f85b39a34f9b8c9feb2359eb275ae6ec67bc173aafa
|
||||
it_IT/mls_low#5421 2a708e24754205a409671fc9b37cddc86ef164560b98bcc9fd111e38776f012c
|
||||
it_IT/mls_low#6001 21c223b035297ac0f62e05e86e5957a851049da3c7f5fc6fa9cacd9bae9c8369
|
||||
it_IT/mls_low#6299 8352fef9431a339cb626b59ca755661e99596bcb9ea4c1279b1655d52e590b98
|
||||
it_IT/mls_low#6348 82d11322849acb278a016675d670819028ba3506973b862098e0decdabd2396e
|
||||
it_IT/mls_low#643 9968e5875eab8d2d77b9a550f2de27b6e03c479242a4f531ad189dcb4c51f756
|
||||
it_IT/mls_low#644 f251f450e50313677c2a488322829d5ba86ebd6f3139fa6bc03fc986ad6efb1e
|
||||
it_IT/mls_low#659 95f1da5647fadf666718315b6df628263b05ff2a89e653e6bb4fb98b495bbbf6
|
||||
it_IT/mls_low#6744 3aabb9f2eda521bad3f23223726d80f8592716decb60f29a2feab1f344280f65
|
||||
it_IT/mls_low#6807 36b8df782565f9250e748979fd8cfb23ab288a4b893637e2aa2b5122e12592ab
|
||||
it_IT/mls_low#7405 5b87ec787f4360086baf088fd2cfe3058dd3983f4cabed62e13fcef05e8b0bd1
|
||||
it_IT/mls_low#7440 c5728755d1c080272a77c221273b87514850df852d002d989d2d7487b320471f
|
||||
it_IT/mls_low#7444 15bbd16a17c1e2e4040898d8274a8c804563eb68ae68aa7d403f26047067bbb2
|
||||
it_IT/mls_low#7936 b1dfe503c4ec9c769b4ca38e70d5d4602e179c600cbc4f9f98b22e900e7ad5cd
|
||||
it_IT/mls_low#8181 2683a2efe9d6bd0628bc1baa54d1fe379cc9ced431bdae28476f08ac0db80baa
|
||||
it_IT/mls_low#8207 584674d77e803dadb2d99154eb0a2d77571be680601f1a64e0ce045c7e2252e5
|
||||
it_IT/mls_low#8384 272ea6b83a4e97778b02cbf094ab5b6b2a7039a9923516c89ebc76b0e6ca2d73
|
||||
it_IT/mls_low#844 d7dc511316c965ba15ac5500b4ae9dc27601a8d5f7cb07bddb1faac0055728ff
|
||||
it_IT/mls_low#8461 79e98db7975e88c7b0b0228b926da7fb09ff993632a7cb809ffe9cccec29052f
|
||||
it_IT/mls_low#8828 aeda5c70513f6054620b8efb36ee125860f7d3d69a8d3ef40a803e5ab14abb70
|
||||
it_IT/mls_low#8842 2c0f500a5b639772aab80755ed0f4082cda39267f30509e779c7f766e0bfe5e4
|
||||
it_IT/mls_low#9185 685a00e2e485fb3d7f31be07d2e4515e1c74a68533c42681b18b4609b0c2fa3d
|
||||
it_IT/mls_low#9772 393f84e5ddae6d6ae02345c02ba387b6b2bf454be608acab8fa9b014fc7db110
|
||||
it_IT/riccardo-fasol_low 0f37384de1a5ae2f703d2a70cdf0fc141988470a24210b8812e3574c7bfdbfa1
|
||||
ko_KO/kss_low 0be2ad36bcb3446eb8d8171884bc6ddd5a6cd63eb999d75728feec4aadd79c43
|
||||
nl/bart-de-leeuw_low 99ef4919da457f26908fac379a6590d074969dadda562175a5485c48a8eeed0d
|
||||
nl/flemishguy_low 1a4841b613069edf9c27bebdbe594a403cfe133c34a9eeddf29a266bc2f9169c
|
||||
nl/nathalie_low f3708f40f2befbb66f319c0c0c7d81bd561fa6404571f0ddb90418d81f1559d8
|
||||
nl/rdh_low e3794ead9fbaff022ab61ac0fce164da375e0017bc0e741abad92f08a11d4e55
|
||||
ru_RU/multi_low#hajdurova 1c328bf9f9d0c57ddff0af01b3b3448ed514ad074ea2361c510905ec564ba40b
|
||||
ru_RU/multi_low#minaev b7a7a069745425cc905492bff3d07c06ab7a46f96697549d11597387ab5f9b7c
|
||||
ru_RU/multi_low#nikolaev bbee5cb008d31f0f2868690833bb69e58d5023685332e4a2689b1e5459313550
|
||||
sw/lanfrica_low 26560985c67d6a31cafa685ef05681748dfec06bee238136b4a249d87d491926
|
||||
te_IN/cmu-indic_low#kpn 1f2d196828b7306a810bf1972fcc91db5907dc5ebec0b3926bbfe4ed24f2c94d
|
||||
te_IN/cmu-indic_low#sk ea87035f8a1bc7e4c32cc0a4d7223f8a359d9d4c41ce0fcfd850a102558554d3
|
||||
te_IN/cmu-indic_low#ss dd19e3e73ec948c6df9d296d9826c98c451ba9e1a83d1c69e169e28313614f0a
|
||||
uk_UK/m-ailabs_low#loboda 6cb7ff7579671e1dfd25d94dd81ceb947536ec2f6f7e92ed9b0992244607493e
|
||||
uk_UK/m-ailabs_low#miskun 0fd56eda8f547b22ae1e42f46952c4c6fbc6beabb2b35df0fb6fb5418897391b
|
||||
uk_UK/m-ailabs_low#obruchov 9f6b3805843c8f5b1f4edc995f489d62712e9976219924c1ba1bae3c9e7e6754
|
||||
uk_UK/m-ailabs_low#pysariev 216aab135028eadc74f155c2ac305eda89a3c2a209da2058d2944f658c1622b4
|
||||
uk_UK/m-ailabs_low#shepel 5b6555fb3cf9ab757ae534cb6fe44377d218d17e8bf43cd47b7bd73bb36d83ab
|
||||
uk_UK/m-ailabs_low#sumska 18e29e52ae17c1272fd95ff9b92554d80c984826d10f7068eb43df252c671c7f
|
||||
vi_VN/vais1000_low cb9d79e8a35a6ce218f69d4645c4b6c0f1a0cfa4a228272e73130a6980667ae5
|
||||
yo/crowdsourced_low#00295 dd3de28e18ae19cffac43ddb100a42520b3a55b0458e9e2df2145c656d9cd5fb
|
||||
yo/crowdsourced_low#00610 a1c6380f52c067992bcff53e8613cbab4d8ad3ae432e442bd63491feab640960
|
||||
yo/crowdsourced_low#01208 60591295c96aa71269397a026b9989db16cebdec2c3c60073d03e1f4a8f280fb
|
||||
yo/crowdsourced_low#01523 c5914a75615931b585cc7fc64db5c1a1e8902afb500052bccfb9ba6373046151
|
||||
yo/crowdsourced_low#02121 68abb56f0e3cd5f8f7aeb2651cd8f3ff0ad4d237840d02dcec5338da1b92bc8e
|
||||
yo/crowdsourced_low#02436 ef7a83becb0971d4515f43646863ece2456c055edc3f03c7957de9de9588b746
|
||||
yo/crowdsourced_low#02484 8c9c2b14d30f442fdf83e1f002851c5902ffc748ad8fa6fa67bae67e63b87735
|
||||
yo/crowdsourced_low#03034 44daa2430e239cded05f2f269bbb11127b8998a5c587ee4a140b8a201c6fe09e
|
||||
yo/crowdsourced_low#03349 100c7da279c83bfa900a8f1272b3e86e8205a68818d76d8e236b2b52147f201a
|
||||
yo/crowdsourced_low#03397 905cf74bd1cafc6336426e61edb0960bc1c3984a759b825c9c45941950842a6b
|
||||
yo/crowdsourced_low#04310 9eced14b5fe3d7a0a8338793ee49f8cc64edd561c900086d552e17fc73691544
|
||||
yo/crowdsourced_low#05223 569d645574ef0765355faff20dcb3893db254f4446e16f17a3daf7c10b712ec0
|
||||
yo/crowdsourced_low#06136 e7b1e4915094b2ef516fa823670b3d05fb7db9ec9efa682a676683f3bf0e39b5
|
||||
yo/crowdsourced_low#07049 60fa296193a6ab21abac2cdcab14b6b7cffded7a440eb761b797f6d881645241
|
||||
yo/crowdsourced_low#07505 3dcc1354178495380b4b057cf6c0b80661f7219ffa1b18b70ff2f7b70b23bb14
|
||||
yo/crowdsourced_low#07508 f6a3b986c1e7a915e8d833a1c947c1c6a492aae624b73839f72006c6a3ce3189
|
||||
yo/crowdsourced_low#08421 464fecf5253067a01348a774b80fc0a891c48ccbe58fcb95cf7205c36ce182f3
|
||||
yo/crowdsourced_low#08784 7c5302a1e1193aec8ddf9a48ca758d283449eeffbb0cc23497d97fa7368ccd21
|
||||
yo/crowdsourced_low#09334 d6e1df816c04e9a584ce936448d9ac5712423365f6360ec79152a85072054204
|
||||
yo/crowdsourced_low#09697 4d005304d6fccc7df64f7388d15b9a85d3d3ffd88e4c1b8ddeda0b4fa87a1b63
|
||||
Loading…
Add table
Add a link
Reference in a new issue