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AI and Future of Music Production

England & Wales privatised their water supply/sewerage in 1989 but not in Scotland, the uk government tried to privatise our water in 1994 but over 90% of the population who were polled refused the idea so the plan was scrapped
Thanks for pointing out . I wish we had been given a choice :(
 
Back on the subject of AI and the future of music production, I find it interesting that @Brian Hall, who has limited access to musicians and singers due to his remote geographic location, is explaining the AI tools and the processes he uses to enable his creativity.
 
Meanwhile a.i companies shit scrape artists songs and uses them to train its model.

 
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Was it posted that Spotify cut a deal with Universal Music (UMG) so that people can create covers of their releases and upload them to Spotify? I assume there is some kind of revenue sharing. Nice to see some solutions are being put forth instead of just a conflict.
 
I would love to create covers or major releases for my own enjoyment. I kind of can do that now as I have all the gear and subscriptions to do it, but it is not as simple as I want it to be. I want to hear what Yes or Rush songs would sound like with a different singer for some of their songs, as an example. Or a slower version of something or an acoustical adaptation. It could open the doors to a new market where old music can be resold once again. I mean, what if Enya was singing all of the classic Black Sabbath songs from the early 70's. :rolleyes:
 
Meanwhile a.i companies shit scrape artists songs and uses them to train its model.


He gets to the point … greedy, dissembling f*ckwits basically "oh no we don't do that thing that we do".
 
I would love to create covers or major releases for my own enjoyment. I kind of can do that now as I have all the gear and subscriptions to do it, but it is not as simple as I want it to be. I want to hear what Yes or Rush songs would sound like with a different singer for some of their songs, as an example. Or a slower version of something or an acoustical adaptation. It could open the doors to a new market where old music can be resold once again. I mean, what if Enya was singing all of the classic Black Sabbath songs from the early 70's. :rolleyes:

Not to attack your personal taste, but writ large this is (refreshed) bread and (private) circuses to mask the accumulation/concentration of extreme wealth for its own sake. All because people are a bit bored and a bit stupid? I mean we could work to address obvious problems, instead of making them worse by opportunity cost and neglect.

Might already be a good Sabbath song. :)
 
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Meanwhile a.i companies shit scrape artists songs and uses them to train its model.


The team behind ACE-Step 1.5 took a strict "alignment-first over quantity-first" approach to prevent the downstream copyright risks that plague other music models. According to their technical report and Hugging Face disclosures, the models were trained entirely on a legally compliant, commercially safe dataset composed of:

  • Fully Licensed Music: Catalogues acquired directly from partnering music labels, distribution platforms, and artists under explicit commercial training agreements.
  • Royalty-Free Libraries: Large-scale commercial production libraries, loops, stems, and atmospheric cues.
  • High-Fidelity Audio Stems: Approximately 6 million of the tracks utilized in the mid-stage training were broken down into individual, high-quality vocal, drum, bass, and melodic stems to teach the model how arrangement layers interact.

Global & Language Distribution​

The dataset wasn't just Western pop. Because they wanted robust multi-lingual performance, the dataset spanning those 27 million processed songs included music across 50 plus languages.

To make sure the model didn't trip over non-Roman scripts (like Mandarin, Japanese, or Thai), they used a trick during training: they converted 50% of non-Roman lyrics into phonetic representations (Romanization). This allowed the model to share phonological sound charts across completely different languages, which is why it maintains clear vocal pronunciation even on rarer linguistic tokens.

What Didn't Make the Cut​

The filtering process was incredibly aggressive. Even though they started with 27 million tracks, millions of songs were thrown out if they had poor acoustic quality, messy mix-downs, or mismatched text descriptors. The final "polishing" phase (Phase 3 SFT) was squeezed down to just 2 million pristine, ultra-clean songs, ensuring the AI learned from high-fidelity audio structures rather than low-bitrate or poorly mastered tracks.
 
The team behind ACE-Step 1.5 took a strict "alignment-first over quantity-first" approach to prevent the downstream copyright risks that plague other music models. According to their technical report and Hugging Face disclosures, the models were trained entirely on a legally compliant, commercially safe dataset composed of:

Sounds a like a really great basis on which to create music - more worried about copyright infringement than any other metric. By implication does this mean that :

1. Their training data set is hugely incomplete and rather limited

2. their training data is made up largely of uninteresting s**t that was not good enough for somebody to release and be paid for, but which they can safely copy without fear of being sued.
 
Sounds a like a really great basis on which to create music - more worried about copyright infringement than any other metric. By implication does this mean that :

1. Their training data set is hugely incomplete and rather limited

2. their training data is made up largely of uninteresting s**t that was not good enough for somebody to release and be paid for, but which they can safely copy without fear of being sued.

I have posted several songs I generated with it in this thread. Judge for yourself.
 
I have posted several songs I generated with it in this thread. Judge for yourself.
Hi Brian

You write great lyrics / poems and I totally get and respect that these tools allow you to bring those works to life musically.

It would be fascinating as a comparison if we could put your excellent lyrics into a setting with experienced musicians and a blank sheet of paper to see what they came up with bouncing ideas around with each other and you .
 
It would be fascinating as a comparison if we could put your excellent lyrics into a setting with experienced musicians and a blank sheet of paper to see what they came up with bouncing ideas around with each other and you .

I did that in my 20s and early 30s. Most of the "musicians" didn't care about music. They just wanted drugs and women.
 
Lol. So, as long as the electricity/processing power of AI remains cheaper than cocaine, musicians should definitely be worried!

PS. Waiting for AI "drummer jokes" to become a thing.
 
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Indeed. My biggest fear with where all of this is going, is if a malevolent Super AI ultimately takes over. Learns (my) musical tastes, then enslaves humans.
("Zoo" style or otherwise.)

"Last Christmas", by Wham would be on repeat. Horribly utilised to tyrannize us.
Most likely miscellaneous increasingly bizarre and disturbing AI created cover versions introduced over time later too.
In the "good version" we will always be granted suicide as an option. (By method/drug of choice.)

Oof. Soz.
 
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