MakeDiffSinger

Pipelines and tools to build your own DiffSinger dataset.

For the recommended standard dataset making pipelines, see:

• acoustic-forced-alignment: make dataset from scratch with MFA for acoustic model training
• variance-temp-solution: temporary solution to extend acoustic datasets into variance datasets

For other useful pipelines and tools for making a dataset, welcome to raise issues or submit PRs.

DiffSinger dataset structure

• dataset1/
  • raw/
  • wavs/
    • recording1.wav
    • recording2.wav
    • ...
  • transcriptions.csv
• dataset2/
  • raw/
  • wavs/
    • ...
  • transcriptions.csv
• ...

Essential tools to process and label your datasets

Dataset tools now have their own repository: dataset-tools.

There are mainly 3 components:

• AudioSlicer: Slice your recordings into short segments
• MinLabel: Label *.lab files containing word transcriptions for acoustic model training.
• SlurCutter: Edit MIDI sequence in *.ds files for variance model training.