Talking of samplers, this is more a ‘history of’ but a sampler nonetheless, the history of Cherry Red records, Ambition volumes 1 and 2. An outstanding compilation. #CherryRedRecords #samplers #CDs #CompactDisc
A recent sampler addition to go with the ever increasing number in the collection. This is a Transatlantic sampler with the likes of Bert Jansch, Pentangle, Gordon Giltrap and includes the brilliant Granny Takes A Trip from The Purple Gang. Great stuff for £2 #vinyl #samplers #transatlantic

Just bought a license for Redux Sampler from Renoise after playing around with it for the last week or two. It is my opinion that this is the BEST native Linux sampler available!

Combining Redux with VCV Rack to produce some tracks based around found sounds and field recordings.

Ambient Experimental Beats are on the horizon.

#redux #vcvrack #linux #linuxaudio #electronicmusic
#samplers #renoise

@vampirdaddy @jamie yeah, cuz in practice, you have "collecting societies" like #GEMA that literally will demand one to evidence there's no content being played that they represent or face huge [retroactive] fines and license payments.

  • OFC this is #NotLegalAdvice and @wbs_legal, a law firm spechalized in media, did a good writeup on this issue.

  • It's also the reason why one can buy 8-12hr #samplers with #BackgroundMusic that is "GEMA-free" for €120+ because even a small location will face €300+ in monthy (!) licensing fees if they choose to just play the local radio station (on top of TV/Radio licensing fees!)

    • This is also why you get "digital signage screens" which are basically TVs without any tuner in them, because commercial users have to license per device instead of a flat per-household fee and the only way to not be affected by this is by being technically unable to recieve said programming...
    • Similarly, this is why many commercial vehicles have no radio in them and why Rivian's amazon delivery vans only have an amplifier with bluetooth in them (so delivery drivers can listen to the navigation instructions on their issued handheld)...
Was ist eigentlich die GEMA-Vermutung?

Die Gesellschaft für musikalische Aufführungs- und mechanische Vervielfältigungsrechte (GEMA) vertritt in Deutschland die Nutzungsrechte von Musikschaffenden und Anbietern. Momentan hat sie, gestärkt durch die internationale Kooperation mit Verwertungsgesellschaften anderer Länder, eine Monopolstellung auf dem deutschen Markt. Das zeigt sich auch in der sogenannten „GEMA-Vermutung“, die durch die Rechtsprechung des BGH […]

WBS.LEGAL
There we are. All my children washed and tucked up ready for bed. #vinyl #samplers #IslandRecords #xp

User came on Discord today complaining how hard it was to configure RAW mode on BlueSCSI - they were right! So I automated it all.

Seems samplers users like the RAW partitioned SD workflow instead of images.

This also allows you to pop in a SCSI2SD card into your BlueSCSI for a easy upgrade.

#samplers #scsi #BlueSCSI

Sample Pack Contest – Sample Pack Contest XI
#Electronic #plunderphonics #samplers #sampling #UnitedKingdom
CC BY-NC-SA (#CreativeCommons Attribution Non Commercial Share Alike) #ccmusic
https://samplepackcontest.bandcamp.com/album/sample-pack-contest-xi
Sample Pack Contest XI, by Sample Pack Contest

70 track album

Sample Pack Contest
Rethinking Losses for Diffusion Bridge Samplers

Diffusion bridges are a promising class of deep-learning methods for sampling from unnormalized distributions. Recent works show that the Log Variance (LV) loss consistently outperforms the reverse Kullback-Leibler (rKL) loss when using the reparametrization trick to compute rKL-gradients. While the on-policy LV loss yields identical gradients to the rKL loss when combined with the log-derivative trick for diffusion samplers with non-learnable forward processes, this equivalence does not hold for diffusion bridges or when diffusion coefficients are learned. Based on this insight we argue that for diffusion bridges the LV loss does not represent an optimization objective that can be motivated like the rKL loss via the data processing inequality. Our analysis shows that employing the rKL loss with the log-derivative trick (rKL-LD) does not only avoid these conceptual problems but also consistently outperforms the LV loss. Experimental results with different types of diffusion bridges on challenging benchmarks show that samplers trained with the rKL-LD loss achieve better performance. From a practical perspective we find that rKL-LD requires significantly less hyperparameter optimization and yields more stable training behavior.

arXiv.org
This could be today but talking about AI (then, sampling) .Contains Brian Pern. Interviewer is Andy Batten-Foster (not Colin Hunt) who was on BBC radio 1 with Richard Skinner for a while way back before becoming a TV producer. #80s #Samplers #Music #BBCArchive
https://youtu.be/91NCoDRadlg?si=7PoN_Nfq7Zz22PIF
1983: The SYNTHESIZER - a BLESSING or a CURSE? | RPM | Classic BBC Music | BBC Archive

YouTube
Dummy's Guide to Modern Samplers

An idiot's comprehensive guide to modern sampling