thelarryproject/librispeech-asr-index-vocoder-validation

thelarryproject LibriSpeech Validation Vocoder Index

An index over thelarryproject/librispeech-asr-validation (LibriSpeech's dev-clean and dev-other): the clips that pass the audio quality and transcript filters used for vocoder training, as row numbers and ids only. Each row points at its clip in the source dataset by row number; use it for evaluation.

5,002 of the source's 5,567 clips remain:

split	clips	hours	speakers
train	5,002	9.4	73

Fields

• row: the clip's row number in the source's train split
• id: the source's clip id, e.g. 2277-149896-0000; check it against the source row to confirm the match

Construction

Rows are numbered first. Removed, with the stricter thresholds used for synthesis data:

• clips with ctc_mismatch above 0.2
• clips shorter than 0.1 s or longer than 25 s
• clips failing an audio quality check: overall level below -40 dBFS, speech in under 50% of frames, signal-to-noise ratio below 15 dB, or more than 0.01% of samples clipped

Then every column but row and id is dropped. See provenance.json for the producing commit and timestamp.

Known corrections

N/a

Known gaps

• Only row and id: read audio, transcripts, and every other column from the source dataset by row; a later revision of the source may reorder rows

LibriSpeech is licensed CC-BY-4.0, and this redistribution is CC-BY-4.0 under thelarryproject. The underlying audio is public domain LibriVox recordings.

Citation

If you use this dataset, please cite the original corpus as well:

@inproceedings{panayotov2015librispeech, title = {Librispeech: an ASR corpus based on public domain audio books}, author = {Vassil Panayotov and Guoguo Chen and Daniel Povey and Sanjeev Khudanpur}, booktitle = {2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, pages = {5206--5210}, year = {2015} }

Preprocessing pipeline code is at https://github.com/Mekadrom/larry, and this dataset is fully reproducible with a
single command in that repo:

uv run preprocessing -f configs/preprocessing/index/voice/asr/openslr_librispeech-asr-index-asr-validation.yaml -f configs/preprocessing/index/voice/vocoder/openslr_librispeech-asr-index-vocoder-validation.yaml --output_dir ~/.cache/larry/datasets/index/voice/vocoder/openslr_librispeech-asr-index-vocoder-validation --clean