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.
![Screenshot 2023-12-18 at 10 40 27 PM](https://private-user-images.githubusercontent.com/3837836/291468646-4c30ad72-76ee-4939-a5fb-16b570d38cf2.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.NWBbKigfJStok69Lb37cOLdr02UR-dIVWtSvjlecDOI)
#!/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 |