[Version 2] Louis Armstrong – WAP (OpenAI Jukebox)
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• What is OpenAI Jukebox?
Simply put, it’s a neural net that generates music – read more about it on the official blog:
• Can I use Jukebox myself?
Yes! If you have a very powerful Nvidia graphics unit (at least 16GB of VRAM for the 5b_lyrics model), you can run Jukebox through Python. If you don’t, you can give Google Colab a try.
• Is there a tutorial?
Yes, I made a tutorial explaining the basics about generating samples and upsampling through Google Colab. (only works with Colab Pro at the moment)
• What has Jukebox been trained on?
According to OpenAI, it has been trained on 1.2 million songs. Unfortunately, OpenAI has not publicly disclosed which songs are in this dataset.
• What sampling temperature are you using?
Always between .975 and 1 – Usually .98
• Does the original artist get compensated if you use their song to train the AI and upload the result to YouTube?
When doing a song continuation like this, in most cases, yes. YouTube’s algorithms can detect most songs, even if they’re only played for a few seconds. The record label will then automatically claim the video and make money off of it.
• Can you do X song/band next?
Feel free to suggest anything, but no promises! Also, Jukebox works best if the artist is on this list: