Datasets:

xhiroga
/

hiroga-speech

License:

Dataset Viewer

Split (1)

train

The dataset viewer is not available for this split.

Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.

Error code:   FeaturesError
Exception:    ValueError
Message:      Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/xhiroga/hiroga-speech@fbe08783e860f971520b2751897dfaa96b4b59cb/aligned/hiroga_001.json.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 499, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 346, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 186, in _generate_tables
                  raise ValueError(
              ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/xhiroga/hiroga-speech@fbe08783e860f971520b2751897dfaa96b4b59cb/aligned/hiroga_001.json.

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データセット作成手順

撮影

QuickTime Playerを開く
画面から30cm程に近づく。距離が遠いと、LFROI(Lower-half Face ROI)作成時に顔全体が映り込んでしまうため
録画ボタンを押し、1秒待ってから発話。そうしないと初めが途切れる
データ加工前に再生し、切れていないことを確認

データ加工

raw→lfroiは次のとおり。なおLFROI_映像は音声を含まないので注意。

uvx --python 3.12 --from 'git+https://github.com/xhiroga/audio-visual-toolkit#subdirectory=packages/avt' crop-mouth --video-file raw/hiroga_001.mov --out-dir lfroi --height 300 --width 300
# or
uvx --python 3.12 --from 'git+https://github.com/xhiroga/audio-visual-toolkit#subdirectory=packages/avt' crop-mouth --video-dir raw --out-dir lfroi

raw→.labは次のとおり。

mfa align raw japanese_mfa japanese_mfa aligned --output_format json --clean --num-jobs 8 --single_speaker
uvx --python 3.12 --from 'git+https://github.com/xhiroga/audio-visual-toolkit#subdirectory=packages/avt' mfa-aligned-to-label --json-dir aligned --out-dir labels

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