Live data from Hacker News

Jukebox

openai.com

91–100 of 134 posts

Re: Jukebox

#91
post #5

I predict that in very near future you just write funny lyrics, select the style and vocalist you want and you get good sounding mediocre music. Then we hear it in - private events like weddings. - social media creators make their own music to go with their funny videos. Cheap theme music for streamers and podcasters. - Advertising. Shopping centres make lyrics that advertise products and play them to you as pop song…

If the tools are good enough, there would be communities of people making better music than the original artists.

It would put record companies in an interesting position.

Re: Jukebox

#92
post #49

Earlier quoted context omitted.

I think you're way off base. I feel like the remaining gap, in comparison to the progress it represents, is more like dotting i's and crossing t's at this point.

I mean I listened to the metal track, and I usually like metal, and I couldn't stand it. The guitar was just ... wrong. The lyrics were unintelligible, even though I had them right in front of me. The pop song in the Katy Perry style was sort of intelligible but quite repetitive (moreso than most pop songs). The other songs had similar issues. I agree that it's quite an achievement, but it clearly suffers from the un…

Consider the state of the art from five years ago and reflect on the nature of technological progress.

Re: Jukebox

#93
Very impressive. This is the first time I've heard some ML generated music that I don't mind listening to. I think if someone figured out a way to get rid of the noise then I would be willing to subscribe to a service that offered this type of music for say $1/mo.

Re: Jukebox

#94
post #5

I predict that in very near future you just write funny lyrics, select the style and vocalist you want and you get good sounding mediocre music. Then we hear it in - private events like weddings. - social media creators make their own music to go with their funny videos. Cheap theme music for streamers and podcasters. - Advertising. Shopping centres make lyrics that advertise products and play them to you as pop song…

> I predict that in very near future you just write funny lyrics, select the style and vocalist you want

You probably don't even need to write the lyrics yourself, but just select any topic you want, genre and mood then entire song generated, for example lyrics generated using Artificial Intelligence

E.g. https://TheseLyricsDoNotExist.com

Re: Jukebox

#95
I did a little bit of work along these lines using gwern's folk music AI model: https://soundcloud.com/theshawwn/sets/ai-generated-videogame...

No lyrics, but the song structure is there. The main problem is that all the pieces end abruptly. It's also midi, not waveform generation, so it's closer in spirit to OpenAI's MuseNet than to Jukebox.

It's also not entirely AI. I didn't modify any of the notes, but I changed the instruments until it sounded good. IMO it's much more interesting to use AI as a "tool you can play with" rather than "a machine that spits out fully-formed results."

Re: Jukebox

#96
Under the window somebody was singing. Winston peeped out, secure in the protection of the muslin curtain. The June sun was still high in the sky, and in the sun-filled court below, a monstrous woman, solid as a Norman pillar, with brawny red forearms and a sacking apron strapped about her middle, was stumping to and fro between a washtub and a clothes line, pegging out a series of square white things which Winston recognized as babies' diapers. Whenever her mouth was not corked with clothes pegs she was singing in a powerful contralto:

  It was only an 'opeless fancy.
  It passed like an Ipril dye,
  But a look an' a word an' the dreams they stirred!
  They 'ave stolen my 'eart awye!

The tune had been haunting London for weeks past. It was one of countless similar songs published for the benefit of the proles by a sub-section of the Music Department. The words of these songs were composed without any human intervention whatever on an instrument known as a versificator. But the woman sang so tunefully as to turn the dreadful rubbish into an almost pleasant sound. He could hear the woman singing and the scrape of her shoes on the flagstones, and the cries of the children in the street, and somewhere in the far distance a faint roar of traffic, and yet the room seemed curiously silent, thanks to the absence of a telescreen.

(1984, Chapter 4)

Re: Jukebox

#98
post #92
post #49

Earlier quoted context omitted.

I mean I listened to the metal track, and I usually like metal, and I couldn't stand it. The guitar was just ... wrong. The lyrics were unintelligible, even though I had them right in front of me. The pop song in the Katy Perry style was sort of intelligible but quite repetitive (moreso than most pop songs). The other songs had similar issues. I agree that it's quite an achievement, but it clearly suffers from the un…

Consider the state of the art from five years ago and reflect on the nature of technological progress.

I think people misinterpret what I'm saying as negative about this accomplishment. Quite the contrary, I'm impressed as to how far we've come.

But I also know that in AI, it's that last little bit that's always the hardest.

Re: Jukebox

#99
Without true creativity AI generated music would always sound like someone that creates music without creativity

Re: Jukebox

#100

I think people in the comments are completely missing the point of this work. As I understand it, and take this with a large grain of salt because I haven't read the paper, the idea of Jukebox is to take a certain style of music by a certain musician and have the algorithm sing, karaoke-style, the lyrics that are listed in the examples to the tune of that music. Think of it as a really jazzy version of Google text-to…

At the risk of sounding crazy, I think this is a pretty big milestone towards some semblance of AGI (or at the very least ASI that writes songs). The fact that neural networks are even capable of producing such outputs (even when cherry-picked) is surprising. In a sense, showing off the promise behind this kind of technology provides a cohesive vision of what this could be in its final form, which in turn inspires people to work on it and fix the pending issues.

Just think about how GANs were viewed when they were first published. The common sentiment was that it was as an interesting "research contribution" that could never live up to the hype. However, the promise behind it inspired people to continue to work on it and now we're able to produce realistic human faces that humans can't tell are fake.

Post reply on HN