Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
| #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| """ | |
| Usage: | |
| morphagene_onset3.py -w <inputwavfile> -o <outputfile> -s <splicecount> | |
| Use the Superflux onset detection algorithm with backtracking to generate | |
| splice locations. | |
| Use these splice locations with a converted WAV (to 32-bit float / 48000Hz) | |
| to make Morphagene reels. |
| name: CI | |
| on: [push] | |
| jobs: | |
| test: | |
| runs-on: ubuntu-latest | |
| services: |
| import argparse | |
| import sys | |
| import black | |
| from blib2to3.pgen2.tokenize import TokenError | |
| TEST_DATA = """ | |
| Normal |