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I don't feel like prompt understanding is very good, I don't think I really ever got close to what I wanted with any of the attempts I made, I imagine learning
by CuriouslyC 3y ago
I don't feel like prompt understanding is very good, I don't think I really ever got close to what I wanted with any of the attempts I made, I imagine learning the model tags and building some intuition might help but I wouldn't bother with that unless I was tinkering with a local model.
Some things it made sounded ok, but I feel like the average generation quality wasn't fantastic. It did a folk guitar melody and a vocoded thrash metal voice that I thought sounded pretty legit, but mostly vocals had an ear grating quality and everything had a bit of low bitrate vibe.
To be honest though, I don't think you need to try and outcompete Suno. I think you want to get into DAWs and VSTs and become the tool all the best producers in the world use. Spit out stems, and train your model on less processed sounds because things like matching reverb/delay and pre-squashed dynamics are a pain in the ass to work around.
Suno is trying to battle a large established industry that is actually very creator friendly and accessible. If you choose to instead serve that industry and enable it I think that's the winning play.
- zaptrem 3y agoThe vast majority of our time was spent figuring out the model architecture and large-scale distributed training, and step 2 (starting now) is scaling everything up. Prompt understanding and audio quality will get significantly better once we swap in a larger text embedding model. Thanks for the feedback re: DAWs, though! That would be really cool. Maybe we can tag tracks based on the effects applied to them to allow this to be more controllable.