Hi - I have been keeping Inguz DSP going for the last couple of years, and in doing so learnt a lot about the LMS plugin architecture. I am thinking of writing a new plugin based off CamillaDSP, but want to gauge the appetite before I get in too deep.
Inguz
Features
Downside
I can add usability features to the UI, but the capability of the processing engine are not going to change.
In contrast Camilla DSP
Downside
The plugin will
Setup the audio pipeline
install the binaries appropriately
create folders for saving configuration files
For the User Interface
I had considered writing a wrapper for CamillaDSP's own UI for now and then enabling presets based off saved YAML files, but I think the install and maintenance will be a nightmare.
So I will enable the convolution engine initially off saved wav files
Enable equaliser/parametric eq.
Simple features like delay; balance etc
2 channel only
frequency rate to be set on a per player basis.
My thinking is that this will cover 80 to 90 percent of use cases, and for anything more complex the user could import a pregenerated YAML file and use that as a preset.
Any thoughts on the above. Any burning ideas for features?
Inguz
Features
- 32 bit audio processing engine
- 2 to 31 frequency Equaliser using ISO standard curves
- Retains stream frequency rate through the pipeline and will match bit depth to player (16 bit / 24 bit)
- Channel Delay; Matrix Impulses (Think specialisation); Balance; Filter Limits; and Loudness (perversely called quietness)
- FIR Convolution Engine
- Cross platform using .net Core 6
Downside
- binary size approx 30 MB
- relatively processor intensive e.g. spikes every 10 seconds @ 2 - 25% CPU depending on processor.
- designed to process 2 channel audio only
- Feature locked - I consider it feature locked as I am not considering writing enhancements to the core engine.
I can add usability features to the UI, but the capability of the processing engine are not going to change.
In contrast Camilla DSP
- 64 bit audio processing engine
- Configurable parametric EQ, which could also be setup as 2 to 31 frequency Equaliser using ISO standard curves
- Almost every conceivable filter type and processing is possible
- FIR Convolution Engine
- Cross platform using pre-compiled Rust
- binary size approx 3 MB
- processing is as fast (low cpu usage) as you are going to get
- Has it's own python and web based UI
- multi-channel
Downside
- Would need to be at fixed sample rate across the pipeline
- Almost every conceivable filter type and processing is possible, which may be unmanageable and I haven't checked everything!
- multi-channel
The plugin will
Setup the audio pipeline
install the binaries appropriately
create folders for saving configuration files
For the User Interface
I had considered writing a wrapper for CamillaDSP's own UI for now and then enabling presets based off saved YAML files, but I think the install and maintenance will be a nightmare.
So I will enable the convolution engine initially off saved wav files
Enable equaliser/parametric eq.
Simple features like delay; balance etc
2 channel only
frequency rate to be set on a per player basis.
My thinking is that this will cover 80 to 90 percent of use cases, and for anything more complex the user could import a pregenerated YAML file and use that as a preset.
Any thoughts on the above. Any burning ideas for features?
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