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MakeDiffSinger – AI Model by ameerazam08 | AlphaNeural AI

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ameerazam08/
MakeDiffSinger

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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.