audio2vmd version 16

• Optimizations, huge speed improvement and lowering of system requirements
• Replaced spleeter(which uses tensorflow) with openunmix to reduce memory usage/increase cpu optimization
• Huge speed boost, was over twice as fast when testing it (an audio file that took 1min6secs to convert, now takes about 31seconds to convert)
• Significant code optimization to reduce memory usage without messing up the vmd output
• Should no longer require a paging file or a lot of memory to use
• "Seperate Vocals" setting added to audio2vmd.py along with GUI and config file:
  • Can be set to "automatic", "always", or "never" to choose how audio2vmd seperates vocal files.
  • 'automatic' = detect and separate if needed
  • 'always' = skip detection and always separate all audio files
  • 'never' = skip detection and assume file is already vocals-only).
  • "automatic" is recommended if any of your files have music/background noise, otherwise "never" is recommended for a additional big speed boost.