mirror of
https://github.com/mikeoliphant/neural-amp-modeler-lv2.git
synced 2026-05-06 19:50:11 +02:00
Update README.md
This commit is contained in:
@@ -9,17 +9,20 @@ To get the intended behavior, **you must run your audio host at the same sample
|
|||||||
|
|
||||||
For amp-only models (the most typical), **you will need to run an impulse reponse after this plugin** to model the cabinet.
|
For amp-only models (the most typical), **you will need to run an impulse reponse after this plugin** to model the cabinet.
|
||||||
|
|
||||||
## Models and Performance
|
## Models Supported
|
||||||
|
|
||||||
The plugin supports both [Neural Amp Modeler (NAM)](https://github.com/sdatkinson/neural-amp-modeler) models and [RTNeural keras json models](https://github.com/jatinchowdhury18/RTNeural) (like those used by [Aida-X](https://github.com/AidaDSP/AIDA-X)).
|
The plugin supports both [Neural Amp Modeler (NAM)](https://github.com/sdatkinson/neural-amp-modeler) models and [RTNeural keras json models](https://github.com/jatinchowdhury18/RTNeural) (like those used by [Aida-X](https://github.com/AidaDSP/AIDA-X)).
|
||||||
|
|
||||||
The best source of models is [Tone3000](https://www.tone3000.com/).
|
The best source of models is [Tone3000](https://www.tone3000.com/).
|
||||||
|
|
||||||
|
For more information on model type support, see the [NeuralAudio](https://github.com/mikeoliphant/NeuralAudio) repository, which is where the model handling code lives.
|
||||||
|
|
||||||
|
## Performance
|
||||||
|
|
||||||
NAM WaveNet models are generally quite expensive to run. This isn't (much of) an issue on modern PCs, but you may have trouble running on less powerful hardware.
|
NAM WaveNet models are generally quite expensive to run. This isn't (much of) an issue on modern PCs, but you may have trouble running on less powerful hardware.
|
||||||
|
|
||||||
If you are having trouble running a "standard" model, try looking for "feather", or even "nano" (the least expensive) models. You can find a list of ["feather"-tagged models on Tone3000](https://www.tone3000.com/search?sizes=feather). Note that tagging models is up to the submitter, so not all "feather" models are tagged as such - you should be able to find more if you dig around.
|
If you are having trouble running a "standard" model, try looking for "feather", or even "nano" (the least expensive) models. You can find a list of ["feather"-tagged models on Tone3000](https://www.tone3000.com/search?sizes=feather). Note that tagging models is up to the submitter, so not all "feather" models are tagged as such - you should be able to find more if you dig around.
|
||||||
|
|
||||||
For more information on model type support, see the [NeuralAudio](https://github.com/mikeoliphant/NeuralAudio) repository, which is where the model handling code lives.
|
|
||||||
|
|
||||||
## Input Calibration
|
## Input Calibration
|
||||||
|
|
||||||
|
|||||||
Reference in New Issue
Block a user