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* add the `voxpopuli` recipe - this is the data preparation - there is no ASR training and no results * update the PR#1374 (feedback from @csukuangfj) - fixing .py headers and docstrings - removing BUT specific parts of `prepare.sh` - adding assert `num_jobs >= num_workers` to `compute_fbank.py` - narrowing list of languages (let's limit to ASR sets with transcripts for now) - added links to `README.md` - extending `text_from_manifest.py`
1.9 KiB
1.9 KiB
Readme
This recipe contains data preparation for the VoxPopuli dataset (pdf). At the moment, without model training.
audio per language
language | Size | Hrs. untranscribed | Hrs. transcribed |
---|---|---|---|
bg | 295G | 17.6K | - |
cs | 308G | 18.7K | 62 |
da | 233G | 13.6K | - |
de | 379G | 23.2K | 282 |
el | 305G | 17.7K | - |
en | 382G | 24.1K | 543 |
es | 362G | 21.4K | 166 |
et | 179G | 10.6K | 3 |
fi | 236G | 14.2K | 27 |
fr | 376G | 22.8K | 211 |
hr | 132G | 8.1K | 43 |
hu | 297G | 17.7K | 63 |
it | 361G | 21.9K | 91 |
lt | 243G | 14.4K | 2 |
lv | 217G | 13.1K | - |
mt | 147G | 9.1K | - |
nl | 322G | 19.0K | 53 |
pl | 348G | 21.2K | 111 |
pt | 300G | 17.5K | - |
ro | 296G | 17.9K | 89 |
sk | 201G | 12.1K | 35 |
sl | 190G | 11.3K | 10 |
sv | 272G | 16.3K | - |
total | 6.3T | 384K | 1791 |