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// Header file for the clipper plugin
include "AUv3Clipper.h"
{
// Initialize the threshold and gain parameters
CreateParameter(kThresholdParam,
kThresholdParamName,
kThresholdParamUnit,
kAudioUnitParameterUnit_Decibels,
kThresholdParamMinDB,
kThresholdParamMaxDB,
kThresholdParamDefaultDB,
0.01,
kAudioUnitParameterFlag_IsWritable | kAudioUnitParameterFlag_IsReadable);
CreateParameter(kGainParam,
kGainParamName,
kGainParamUnit,
kAudioUnitParameterUnit_Decibels,
kGainParamMinDB,
kGainParamMaxDB,
kGainParamDefaultDB,
0.01,
kAudioUnitParameterFlag_IsWritable | kAudioUnitParameterFlag_IsReadable);
}
// Processes a single audio frame using the clipper algorithm
OSStatus AUv3Clipper::ProcessFrame(UInt32 inNumberFrames, AudioBufferList &ioData)
{
// Get the current values of the threshold and gain parameters
float thresholdDB = GetParameter(kThresholdParam);
float gainDB = GetParameter(kGainParam);
}
Now all that’s need is a GUI and someone to put it together!
And here are some names it came up with:
Sure! Here are a few examples of more creative or artistic names for a clipper plugin:
"Sonic Sculptor"
"Dynamic Dynamics"
"Power Limiter"
"Level Master"
"Signal Shaper"
"Frequency Fencer"
"Waveform Wielder"
"Audio Artist"
"Tone Tamer"
"Wave Shaper"
“Dynamic Dynamics” FTW 😂
Oh, is that all?
😂
Just ask Midjourney, it is taking all the jobs!
Couldn't you maybe find a hard clipper already inplemented in BYOD, for example?
I expect the code you posted would generate some nasty aliasing artifacts.
I’d really like for there to exist a dedicated clipper plugin, something preferably lightweight - yeah I’m guessing this AI generated code would probably be very rough but the sentiment is there. Here’s to more of robots helping and less of robots hindering in 2023!
Load Drambo into an effects slot and add ONE Shaper Module to it and set it to clip mode and you’ll propably have one of the best super low aliasing clippers on iOS ready to go…
Code generated by chatGPT often doesn‘t work on the first ‚round‘. You need to try it and then state to chatGTP in which parts it fails and chatGTP comes up with a better code. (That‘s what the above video mentions as ‚iterations‘, he needed about 20 rounds of chatGTP fixing its own code to get it running)