Altinus

A method for using NAM in PlugData via pdluajit

Real time concatenative musaicing synthesis in plugdata, with pdluajit reference: github.com/ctralie/TheConcat…

For those who are interested, these are my last meter patches. Some implementations may not be the best, Stereoscope is a data structure example in vanilla document, I have made some slight modifications

plugdata meter, if plugdata could go further in custom GUI, the results might be better

i've also built a same patch in plugdata before, it's quite fun😂

plugdata+luajit，FDN+Allpass Reverb

cool!

i`ve released my plugdata patch "GraphicEQ", some bugs may exist. see: github.com/Altinus/pd_Graphi…

it seems like we can make 3D games in plugdata

For Windows users, it is possible to use plugdata externals inside a DAW. I am currently conducting extensive testing and have found that most objects from FluidCorpusManipulation (FluCoMa), Faustgen, and pmpd are working

Async inference with ONNX Runtime is now successfully loading the deep learning model. Since the model is relatively small, inference runs fine on CPU with reasonable resource consumption. No JUCE frameworks required at the bottom layer — it's pure Lua + a thin C++ wrapper

After integrating luajit into pdlua, I find the syntax a little strange. For instance, C arrays created with ffi use 0-based indexing, while lua tables start at 1, which can definitely lead to confusion🤮

The integration of JIT and FFI enhances lua`s DSP performance, achieving near-native C efficiency while enabling dynamic library invocation at runtime directly from Lua. dsp can be done simply by writing Lua scripts while maintaining very low CPU usage!

I’ve integrated LuaJIT into plugdata’s nightly build while keeping the original DSP API unchanged. Testing shows a performance boost for DSP tasks. For example, WSOLA processing went from ~13% CPU usage on Lua 5.4 down to just 2% with LuaJIT.

Further tweaks, clones now smartly disable dsp when not needed, cutting down on resource usage.

Found a new approach that dramatically lowers the CPU load of my old plugdata granulator. On my pc, running 32 STEREO grains now takes around 7% CPU. By contrast, the old version with 32 MONO grains was eating up about 16%. demo(new one):

just for fun: Implemented Karplus-Strong in pdlua, with a basic visualization UI added, with some AI assistance of course

vibe coded an LPC vocoder in pdlua💀 sped up autocorrelation with fft