thelarryproject/vctk-index-vocoder

thelarryproject VCTK Vocoder Index

An index over thelarryproject/vctk-normalized-asr (the CSTR VCTK Corpus, mic1 recordings): 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.

20,152 of the source's 44,083 clips remain:

split	clips	hours	speakers
train	18,833	19.1	104
validation	1,319	1.4	5

The splits are speaker-disjoint.

Fields

• row: the clip's row number in the same split of the source dataset
• id: the source's clip id, e.g. p281_315; 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 shorter than 0.1 s or longer than 25 s
• clips with ctc_mismatch above 0.2
• 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
• mic1 recordings have very low frequency noise, per the corpus's update.txt
• The Rainbow Passage and elicitation paragraph are read by every speaker, so those sentences repeat across speakers and across the train and validation splits

The CSTR VCTK Corpus is licensed CC-BY-4.0 by the University of Edinburgh, and this redistribution is CC-BY-4.0 under thelarryproject.

Citation

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

@misc{veaux2019vctk,
  author    = {Veaux, Christophe and Yamagishi, Junichi and MacDonald, Kirsten},
  title     = {{CSTR VCTK Corpus}: English Multi-speaker Corpus for {CSTR} Voice Cloning Toolkit (version 0.92)},
  publisher = {The Centre for Speech Technology Research (CSTR), University of Edinburgh},
  year      = {2019},
  url       = {https://datashare.ed.ac.uk/handle/10283/3443}
}

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/vocoder/thelarryproject_vctk-index-vocoder.yaml --output_dir ~/.cache/larry/datasets/index/voice/vocoder/thelarryproject_vctk-index-vocoder --clean