Live data from Hacker News

Show HN: Sonauto – A more controllable AI music creator

sonauto.ai

71–80 of 248 posts

Re: Show HN: Sonauto – A more controllable AI music creator

#72
post #57
post #55

I think the problem here is the same one as the other current music generation services. Iteration is so important to creativity and right now you can't really properly iterate. In order to get the right song you just spray and pray and keep generating until one that is sufficient arrives or you give up. I know you hint at this being a future direction of development but in my opinion it's a key feature to take these…

Our variations feature coming very soon is exactly this! Rhythm Control is an early version of this.

More strength does what? More or less similar?

Re: Show HN: Sonauto – A more controllable AI music creator

#73
There's a lot of negative comments here, but these are the earliest days and generating entire songs is kind of the hello world of this tech.

There's always going to be a balance between creating high level tools like this with no dials and low level tools with finer control, and while this touts itself as being "more controllable", it's clearly not there. But, the same way Adobe has integrated outpainting and generative fill into Photoshop, it's only a matter of time before products like this are built into Ableton and VSTs - where a creator can highlight a bar or two and ask your AI to make the the snippet more ethereal, create a bridge between the verse and the sax solo, or help you with an outro.

That said, similar to generating basic copy for a marketing site, these tools will be great for generating cheap background music but not much else, but any musician, marketing agency, or film-maker worth their salt is going to need very specifically branded music for their needs, and they're likely willing to pay for a real licence to something audiences will recognize, using generative AI and tools to remix the content to their specific need.

Re: Show HN: Sonauto – A more controllable AI music creator

#74
post #57
post #55

I think the problem here is the same one as the other current music generation services. Iteration is so important to creativity and right now you can't really properly iterate. In order to get the right song you just spray and pray and keep generating until one that is sufficient arrives or you give up. I know you hint at this being a future direction of development but in my opinion it's a key feature to take these…

Our variations feature coming very soon is exactly this! Rhythm Control is an early version of this.

I uploaded a bit of a song that I recorded once (that I wrote, unpublished), and I am trying to get it to riff on it, generate something close to it, etc.

Re: Show HN: Sonauto – A more controllable AI music creator

#75
post #57
post #55

I think the problem here is the same one as the other current music generation services. Iteration is so important to creativity and right now you can't really properly iterate. In order to get the right song you just spray and pray and keep generating until one that is sufficient arrives or you give up. I know you hint at this being a future direction of development but in my opinion it's a key feature to take these…

Our variations feature coming very soon is exactly this! Rhythm Control is an early version of this.

I'll keep an eye out for that! The variations feature in Suno is a good example of what not to do here, as it effectively just makes another random iteration using existing settings.

I think the other missing pieces I've found are upscaling and stem splitting. While existing tool exist for splitting stems exist, my testing found that this didn't work well in practice (at least on Suno music), likely due to a combination of encoder-specific artifacts and the overall low sound quality. Existing upscaling approaches also faced similar issues.

My naive guess is that these are things that will benefit from being closely intertwined with the generation process. Eg when splitting up stems, you can use the diffusion model(s) to help jointly converge individual stems into reasonable standalone tracks.

I'm excited about the potential of these tools. I've definitely personally found uses cases for small independent game projects where a paying for musicians is far out of budget, and the style of music is not one I can execute on my own. But I'm not willing to sacrifice on quality of results to do so.

Re: Show HN: Sonauto – A more controllable AI music creator

#78
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.

Re: Show HN: Sonauto – A more controllable AI music creator

#79

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…

The 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.

Re: Show HN: Sonauto – A more controllable AI music creator

#80
post #43

Earlier quoted context omitted.

Which providers would you prefer? We tried Twitter last night but it wasn't working for some reason (kept redirecting immediately with no oauth page).

Basic username and password auth has worked for millions for decades. If you absolutely must collect user data for some reason, an email address can be used as the username. This isn't a hard problem to solve.

The problem is 1 person creating 10,000 accounts. Solve that and you will be rich.
Post reply on HN