151–160 of 405 posts
> Today’s announcement comes as Deezer conducted a survey last November that found that 97% of participants couldn’t tell the difference between fully AI-generated music and human-made music.
Unable to tell it wasn't made by a human, but they can tell it's not very good apparently.
I'm trying to learn music production with a DAW, sometimes I wonder if I'm wasting my time. Part of my reason for trying this was reading how creative endeavors can be therapeutic (I'm dealing with burnout/depression/cptsd). I'm at the stage where sometimes I make something that sounds good (to me) but I know it requires work (in the "not fun" sense) to finish it and even then, it will likely never be appreciated by…
Even before generative AI, there is a long-going debate in audio circles around simulated guitar amplifiers. The truth is, the simulations of them have gotten so insanely good that now one could simply purchase an all-in-one pedalboard and have basically all of guitar history at your toes.
My rule-of-thumb is this: "does this tool I'm using in particular take away from the authenticity of my performance or songwriting?" Example: I am very keen on performing vocals and guitar at the same time, and I don't have an expensive studio setup, and my office has background noise. I use these tools, and yes even some open source AI ones, 1) remove background noise of the individual tracks and 2) do a final master against a recording I want to target (using something like Matchering or similar [0]). It still sounds like me, my voice isn't perfect, my beat isn't consistent, but it sounds like I rented some studio space. So for me it was a cost-saving measure.
I'm trying to learn music production with a DAW, sometimes I wonder if I'm wasting my time. Part of my reason for trying this was reading how creative endeavors can be therapeutic (I'm dealing with burnout/depression/cptsd). I'm at the stage where sometimes I make something that sounds good (to me) but I know it requires work (in the "not fun" sense) to finish it and even then, it will likely never be appreciated by…
> Artists? Pencil laborers, more like.. I am in favor of using AI in visuals. It will eliminate a lot of mere decorators, and won’t even slightly affect the artists. I hope AI as a technology has the same effect on the world of ART as the invention of photography had: it got rid of a lot of empty landscape copiers. Impressionism was born shortly after that. See, I believe many cursed photography, but Monet never saw it as a problem.
Earlier quoted context omitted.
Step 1: ditch the DAW and learn a real instrument Step 2: find a local jam group or community band/orchestra Step 3: have fun playing music with friends
Multiple problems with this one. For one, acquiring an instrument is expensive - even secondhand, most instruments cost a significant amount of money. Learning it properly is even more important and expensive - fixing something in a DAW is easy, unlearning muscle memory is much harder. Keeping up said muscle memory also isn't easy. Sure, if you got a free-standing house, no one will care much about a drum set, trumpe…
I've been working hard at this over at SubmitHub, developing a way to detect AI songs: https://www.submithub.com/ai-song-checker These days roughly 20% of the songs coming through our platform for promotion are AI-generated. Roughly 75% of them are honest and declare their AI usage - but another 25% try to hide it. Some of them are actually writing scripts to "clean" their audio so that it can bypass detection.
Do not try to solve an unsolvable problem, you'll end up hurting real users quite a bit more than you might imagine. Imagine new enthusiastic users trying your platform getting hit with an AI label because of inevitable false positives. 'Detecting AI' is not a problem that has real solutions, the only avenue is something supply side like synthid. But that harms users too, by introducing further barriers for indie use…
This isn't like text classification, the signal many orders of magnitude higher bitrate and so many more corners need to be cut. It's likely going to be nearly impossible or at least not remotely worth it to generate an audio signal that is truly undetectable in the foreseeable future.
Earlier quoted context omitted.
Honestly I think the thing that most humans appreciate is effort . Using AI tools is not inherently "bad", but these very-literally mass produced AI songs are almost by definition low-effort and as a result pretty bland and unlikeable. Digital music has always been fine to me, as long as the song being produced feels like it took a human some amount of effort.
Yeah I agree with that nuance, as I personally enjoy making AI covers of songs I like in genres that I can't produce myself (old vintage blues covers of 80s new wave songs if you must know). It's a fair amount of work prompting and curating (and editing in some cases). I think they are cool and have shared a few, but they do tend to get lumped in with "ai slop" and some people take offense.
I've been working hard at this over at SubmitHub, developing a way to detect AI songs: https://www.submithub.com/ai-song-checker These days roughly 20% of the songs coming through our platform for promotion are AI-generated. Roughly 75% of them are honest and declare their AI usage - but another 25% try to hide it. Some of them are actually writing scripts to "clean" their audio so that it can bypass detection.
do you have any idea on what percentage of musicians use AI to create the song and then also create the sheet music so they can play it themselves? That seems like a decent workflow, use AI to get the song right, and then record yourself playing it with you're own creative tweaks. That's kind of how I do AI assisted coding.
Deezer will tag it and refuse to promote it once it's tagged as such. You're not gonna stumble upon it by leaving the autoplay on and it will not appear on any of its editorial playlists. Quite frankly this problem would be completely gone if every streaming service implemented this same policy.
Deezer also does some other things right: they boost the artist payout if the listener intentionally searches for an artist/song/album instead of stumbles upon it via autoplay/playlists, they introduced lossless audio a decade before Spotify, and you don't even need an API key to interact with its metadata (of course you need to oblige by their rate limits).
Some criticism so that this doesn't look like a pure promotion: their apps are absolute crap in comparison to Spotify and Apple Music, and even in comparison with TIDAL, which itself isn't really a pinnacle of user experience. It's definitely the most frustrating one out of the bunch that I have direct experience with.
I'm trying to learn music production with a DAW, sometimes I wonder if I'm wasting my time. Part of my reason for trying this was reading how creative endeavors can be therapeutic (I'm dealing with burnout/depression/cptsd). I'm at the stage where sometimes I make something that sounds good (to me) but I know it requires work (in the "not fun" sense) to finish it and even then, it will likely never be appreciated by…
Earlier quoted context omitted.
Yeah I agree with that nuance, as I personally enjoy making AI covers of songs I like in genres that I can't produce myself (old vintage blues covers of 80s new wave songs if you must know). It's a fair amount of work prompting and curating (and editing in some cases). I think they are cool and have shared a few, but they do tend to get lumped in with "ai slop" and some people take offense.
You are describing AI slop.