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mfrebo
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align-vandam
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YODA repo to align vandam corpus using Montreal Forced Aligner.

Albero (Tree): e867d77c1f
Rami (Branch) Tag
align-vandam
Martin Frébourg e867d77c1f modified annotations input in compare.py 3 anni fa
.datalad c11e500a15 [DATALAD] new dataset 3 anni fa
.vscode 385198801d corrected with lucas' review 3 anni fa
code 65a6385203 added compare.py 3 anni fa
inputs 2cb46a39ea cleaned unnecessary files 3 anni fa
outputs e867d77c1f modified annotations input in compare.py 3 anni fa
.gitattributes c84fb1c33e Apply YODA dataset setup 3 anni fa
.gitmodules 1d2b1741b5 [DATALAD] Recorded changes 3 anni fa
CHANGELOG.md c84fb1c33e Apply YODA dataset setup 3 anni fa
README.md 2820fd10b6 modified readme 3 anni fa

README.md

Project

Dataset structure

  • All inputs (i.e. building blocks from other sources) are located in inputs/.
  • All custom code is located in code/.

Steps to generate aligned .csv from vandam-data .cha annotations

  1. Run code/csv2grid with annotations/cha/converted as input (converts the original .csv to .TextGrid)
  2. Run MFA Align with output files of previous step as input (with inputs/mfa-models/acoustic & inputs/mfa-models/dictionary as required)
  3. Run code/grid2csv to convert .TextGrids to .csv with outputs of previous step as input.

Steps for comparison of aligned segments with human annotator

  1. Use child-project sampler to generate 5x 1 minute segments (high-volubility) and outputs them in outputs/
  2. Use child-project eaf-builder with files generated at previous step and templates at inputs/eaf_templates
  3. Annotate segments by hand on ELAN
  4. Create csv dataframe with each segment in outputs/fivesegments-eaf
  5. Import that .csv with child-project import-annotations