The General Chatter/Off Topic Thread

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via Pluralistic: 21 Jun 2022 – Pluralistic: Daily links from Cory Doctorow

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Labels bending over backwards to define streams as ‘sales’, and not a ‘licence’. Meanwhile streaming services are bending over backwards to define streams as a ‘license’, and not ‘sales’.

The only way to screw both listeners and artists!

I didn’t know it was 50% split for licencing… I need to get in touch with the artists I have put on streaming services, there’s some more money to be sent. To me, as the kind of music I put up all runs at a loss :joy:

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People who use YouTube probably already know this is happening:

Google doesn’t give normal people the ability to report these kinds of activities at all.

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The page is empty for me, even in archive. :thinking:

Okay, known, but super depressing to read so much about it playing out… a big motivator for MetaBrainz to keep doing what it’s doing! I know fair artist representation is a part of the big picture goal.

On a lighter note I really want to watch the film these two dickheads made. Statements like ‘The Worst Movie I’ve Ever Seen’ are like catnip to me :joy:

p.s. 2 mins in and if you like bad movies this is looking very promising. Enjoy!

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Apparently you have to be in the US to be able to read these two pages (article and film).

Bummer - works in NZ (which is a nice change tbh)

I had this idea for years - too lazy tho :smile:

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If anyone has strong opinions on footers, have at it: [CB-448] Design new CB footer - MetaBrainz JIRA?

A track from the new Haiduk album Diabolica [black metal]

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\o/

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Also, not sure if it’s on the forums (I probably missed it), but the MBz 22 summit is livestreaming soon! And the next few days.

Join in on Zoom or watch on YouTube:

https://wiki.musicbrainz.org/MusicBrainz_Summit/22

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Last month, a buddy of mine saw this lovely lass play live at a local gig near me. Ladies and gentlemen, here’s Nati Dreddd:

Apparently, Nati hit a stride during the initial lockdowns of 2020 and accrued something of a sizeable following on TikTok. She’s now on tour promoting her music in United Kingdom, and hopefully, the rest of the world.

Highlights include a sentimental tune titled “Jakob”, named after Nati’s nephew, which is dedicated to single mothers facing the challenges of raising their children alone. It has all the hallmarks of a lullaby that feels heartfelt and sincere without indulging in saccharine platitudes or trite shite:

Other tunes worth mentioning are the romantic ballad “When You Come Home Again” and “Apocalypse”:

Apart from her tunes, she interviews very well and is quite pleasant to listen to as she recounts her life story and journey through music. She endlessly witty, good humored and thoroughly charismatic:

Looking to see what others think of Nati Dreddd.

According to this banner I’ve been a MusicBrainz editor for 16 years.

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Deezer suddenly started to show the back cover art (with the barcode of the CD release!) for some releases which had previously shown a correct front cover:

New feature or just a (re-)upload of the label which went wrong?
In any case, I appreciate this oddity, as it gives me access to good quality back cover art which would be hard to find otherwise (as the CDs are out of print) :star_struck:
The preview images are just square crops, but Image Max Url is able to access the full non-square images, so I already backed them up for the CAA.

(Other streaming services which also have these releases are apparently not affected.)

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Bandcamp Friiiiiiiiday!

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Username checks out.

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:fish:

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(I can’t just write “fish” :()

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MusicLM: Generating Music From Text

Andrea Agostinelli, Timo I. Denk, Zalán Borsos, Jesse Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, Matt Sharifi, Neil Zeghidour, Christian Frank

Google Research

Abstract We introduce MusicLM, a model generating high-fidelity music from text descriptions such as “a calming violin melody backed by a distorted guitar riff”. MusicLM casts the process of conditional music generation as a hierarchical sequence-to-sequence modeling task, and it generates music at 24 kHz that remains consistent over several minutes. Our experiments show that MusicLM outperforms previous systems both in audio quality and adherence to the text description. Moreover, we demonstrate that MusicLM can be conditioned on both text and a melody in that it can transform whistled and hummed melodies according to the style described in a text caption. To support future research, we publicly release MusicCaps, a dataset composed of 5.5k music-text pairs, with rich text descriptions provided by human experts.

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