From 2d3e4115e44b0781e10c4a3e8c4c30e01534fc0a Mon Sep 17 00:00:00 2001 From: Mike Oliphant Date: Fri, 7 Feb 2025 08:13:44 -0800 Subject: [PATCH] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 7915e7e..1517e2b 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ 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. -### Models and Performance +## Models and Performance 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)). @@ -27,7 +27,7 @@ For more information on model type support, see the [NeuralAudio](https://github The expected input level to the plugin is 12dBu. For models that include input level information, they will be calibrated against this level. If you know the input level of your audio interface, you should adjust the input level relative to the expected 12dBu to provide the appropriate signal level to the model. -### Building +## Building First clone the repository: ```bash @@ -53,6 +53,6 @@ Note - you'll have to change the Visual Studio version if you are using a differ After building, the plugin will be in **build/neural_amp_modeler.lv2**. -### Optimization +## Optimization If you have a relatively modern x64 processor, you can pass ```-DUSE_NATIVE_ARCH=ON``` on your cmake command line to enable certain processor-specific optimizations.