lingo.lol is one of the many independent Mastodon servers you can use to participate in the fediverse.
A place for linguists, philologists, and other lovers of languages.

Server stats:

53
active users

#lmms

0 posts0 participants0 posts today

xymmusic.bandcamp.com/album/ho

Sounds for when you are lying down while dissociating in a hospital bed.

Tracks from 1 to 3 are are in custom scales that i made based on my personal perception of the tones and timbres found in the hospital environment.
Track 4 uses Wendy Carlos Super Just tuning.
Track 5 is in 24 EDO.
I used only the #LMMS Triple Oscillator and free samples as well as my own recordings.

Training #AIs, whether #LLMs or #LMMs, is all about data.

They perform tasks within the distribution of their training data, and in the same level of competence.

This also applies to reinforcement learning; if you look behind the scenes, what happens is supervised learning with extra steps. The error is still backpropagated back through the network, but the objectives are slightly different. Instead of direct task performances to imitate, we'll get the feedback from exploration and rewards, basically the most successful explorations can be understood as the data.

So, the data is where the buck stops when an #AI makes a misjudgement. When designing data pipelines, refinement processes and exploratory games for your AIs, you can forget about everything you know about the mechanistic aspects of Transformer architectures, and just simply focus on how to improve the data.

The data is better if it can be used to train better models. Better models have higher competence in skills, higher volume of relevant knowledge, and higher coverage in task generalism and flexibility. Hence the best data represents exactly those aspects maximally.

Human level is not the gold standard and neither is raw real-world data. We can design processes which refine the data without apparent limits, and make that data alive through AIs trained with it.

Battle of the open source synths on Linux: #Vitalium, #SurgeXT, #Synthv1, #Dexed, #ZynAddSubFX. There's also #Helm, but it's just a precursor of Vitalium (by the same developer). There are a couple more, but these are the most common or capable ones.

I wish there was some more development of Vitalium. The creator of #Vital dropped the v1 as GPL, and then he closed sourced it. The community didn't really do much with it.

#Switch to #opensource solutions:

Windows: #Linux
Photoshop: #Gimp 3.0-rc
Illustrator: #Inkscape
PremierePro: #Kdenlive, #Shotcut
Office/Acrobat: #OnlyOffice, #LibreOffice
Maya: #Blender
Media: #VLC
Unity: #Godot
ToonBoom: #SynfigStudio, #Pencil2D
InDesign: #Scribus
Nuke: #Natron
Procreate: #Krita
After Effects: #Friction
Mathematica: #SageMath, #SymPy
MatLab: #GnuOctave
Audition: #Audacity
Autocad: #FreeCAD, #QCad
Ableton: #Ardour, #LMMS (daily build)
Lightroom: #DarkTable, #RawTherapee

Continued thread

also for anyone curious as to what this takes to do in lmms...

...i'd like to again point out that this is only 1/3 of the full length track

these are *just* the drum patterns and instrument panels for this one five minute excerpt

also worth noting that the final product is *just* a raw export from lmms itself. only thing i did in audacity was hit it with the EQ so the clipping didn't completely kill anyone with cheaper speakers

all on linux, fwiw

i still have at *least* two more full screens worth of drums to program tbh

I think I got an A-B problem on my hands 😂

I plan to make music for my next YouTube stuff, so I was looking for electronic guitar samples for @LMMS , and a forum suggested to get Unreal Instruments Metal GTX, and to find something that can load an #SFZ instrument. I found that Arch #Linux has #Carla in the repos. So now I have Carla in #LMMS and the instrument opened in Carla but have no sound...

Do I troubleshoot the sound, or look for a different instrument?

Replied in thread

@FediFollows @tenacity @moodeaudio @obsoletemediauk @socialaudiodescription.com @funkwhale @pipewire @audiocrackle @internetarchive

No mention of any audio code like #ogg #oga #flac

No mention of any audio player like #audacious or #cmus

No mention of any digital audio workstation (DAW) like #ardour or #LMMS

No mention of any audio mixer like #mixxx

No mention of any audio converter like #sox or #ffmpeg

No mention of any audio tag editor like #easytag