Switch to NeuralAudio release branch

This reverts commit 513a537d43.

.github/workflows/build.yml

@@ -20,10 +20,14 @@ jobs:
       env:
         CXX: clang++
       run: |
-        cmake .. -DCMAKE_BUILD_TYPE=$BUILD_TYPE
+        cmake .. -DCMAKE_BUILD_TYPE=$BUILD_TYPE -DBUILD_UTILS=ON -DBUILD_NAMCORE=ON -DBUILD_STATIC_RTNEURAL=ON 
         cmake --build . --config $BUILD_TYPE -j4
         cpack
 
+    - name: Run ModelTest
+      working-directory: ${{github.workspace}}/build/src/NeuralAudio/Utils/ModelTest
+      run: ./ModelTest
+      
     - name: Upload binary
       uses: actions/upload-artifact@v4
       with:
@@ -47,8 +51,12 @@ jobs:
     - name: Build Plugin
       working-directory: ${{github.workspace}}/build
       run: |
-        cmake.exe -G "Visual Studio 17 2022" -A x64  -T ClangCL ..
+        cmake.exe -G "Visual Studio 17 2022" -A x64 -DBUILD_UTILS=ON -DBUILD_NAMCORE=ON -DBUILD_STATIC_RTNEURAL=ON -T ClangCL ..
         cmake --build . --config=release -j4
+
+    - name: Run ModelTest
+      working-directory: ${{github.workspace}}/build/src/NeuralAudio/Utils/ModelTest/Release
+      run: ./ModelTest.exe
         
     - name: Upload artifact
       uses: actions/upload-artifact@v4

.github/workflows/release.yml

@@ -42,7 +42,7 @@ jobs:
       env:
         CXX: clang++
       run: |
-        cmake .. -DCMAKE_BUILD_TYPE=$BUILD_TYPE
+        cmake .. -DCMAKE_BUILD_TYPE=$BUILD_TYPE -DLSTM_PREFER_NAM=OFF -DWAVENET_PREFER_NAM=OFF
         cmake --build . --config $BUILD_TYPE -j4
 
     - name: Add LV2 Archive
@@ -73,7 +73,7 @@ jobs:
       env:
         CXX: clang++
       run: |
-        cmake .. -DCMAKE_BUILD_TYPE=$BUILD_TYPE -DUSE_NATIVE_ARCH=ON
+        cmake .. -DCMAKE_BUILD_TYPE=$BUILD_TYPE -DUSE_NATIVE_ARCH=ON -DLSTM_PREFER_NAM=OFF -DWAVENET_PREFER_NAM=OFF
         cmake --build . --config $BUILD_TYPE -j4
 
     - name: Add LV2 Archive
@@ -102,7 +102,7 @@ jobs:
     - name: Build Plugin
       working-directory: ${{github.workspace}}/build
       run: |
-        cmake.exe -G "Visual Studio 17 2022" -A x64  -T ClangCL ..
+        cmake.exe -G "Visual Studio 17 2022" -A x64  -T ClangCL -DLSTM_PREFER_NAM=OFF -DWAVENET_PREFER_NAM=OFF ..
         cmake --build . --config=release -j4
 
     - name: Add LV2 Archive
@@ -130,7 +130,7 @@ jobs:
     - name: Build Plugin
       working-directory: ${{github.workspace}}/build
       run: |
-        cmake.exe -G "Visual Studio 17 2022" -A x64 -DUSE_NATIVE_ARCH=ON -T ClangCL ..
+        cmake.exe -G "Visual Studio 17 2022" -A x64 -DUSE_NATIVE_ARCH=ON -DLSTM_PREFER_NAM=OFF -DWAVENET_PREFER_NAM=OFF -T ClangCL ..
         cmake --build . --config=release -j4
 
     - name: Add LV2 Archive

CMakeLists.txt

@@ -1,8 +1,9 @@
 cmake_minimum_required(VERSION 3.10)
 
-project(NeuralAmpModelerLv2 VERSION 0.1.6)
+project(NeuralAmpModelerLv2 VERSION 0.1.9)
 
 set(CMAKE_MODULE_PATH "${CMAKE_SOURCE_DIR}/cmake")
+set(LIB_INSTALL_DIR ${CMAKE_INSTALL_PREFIX}/lib CACHE PATH "The library install dir (default: lib)")
 
 set(CMAKE_CXX_STANDARD 20)
 set(CMAKE_CXX_STANDARD_REQUIRED OFF)
@@ -11,7 +12,7 @@ set(CMAKE_CXX_EXTENSIONS OFF)
 if (CMAKE_SYSTEM_NAME STREQUAL "Darwin")
 	include_directories(SYSTEM /usr/local/include)
 elseif (CMAKE_SYSTEM_NAME STREQUAL "Linux")
-	link_libraries(stdc++fs)
+	link_libraries( "$<$<AND:$<CXX_COMPILER_ID:GNU>,$<VERSION_LESS:$<CXX_COMPILER_VERSION>,9.0>>:-lstdc++fs>" )
 elseif (CMAKE_SYSTEM_NAME STREQUAL "Windows")
 	add_compile_definitions(NOMINMAX WIN32_LEAN_AND_MEAN)
 else()
@@ -29,11 +30,14 @@ add_custom_target(copy_binaries ALL
 	DEPENDS neural_amp_modeler
 )
 
+file(COPY resources/modgui.ttl DESTINATION neural_amp_modeler.lv2)
+file(COPY resources/modgui DESTINATION neural_amp_modeler.lv2)
+
 configure_file(resources/manifest.ttl.in neural_amp_modeler.lv2/manifest.ttl)
 configure_file(resources/neural_amp_modeler.ttl.in neural_amp_modeler.lv2/neural_amp_modeler.ttl)
 
 install (DIRECTORY ${CMAKE_BINARY_DIR}/neural_amp_modeler.lv2
-       DESTINATION lib/lv2
+       DESTINATION ${LIB_INSTALL_DIR}/lv2
 )
 
 set(CPACK_GENERATOR "DEB")

CREDITS.md

@@ -1,11 +1,11 @@
-This repository uses code from a number of sources:
+[GitHub contributers](https://github.com/mikeoliphant/neural-amp-modeler-lv2/graphs/contributors)
 
-https://github.com/sdatkinson/NeuralAmpModelerCore
+This repository uses code from a number of sources. Please see them for code licensing information:
 
-https://gitlab.com/libeigen/eigen
-
-https://github.com/jatinchowdhury18/RTNeural
+https://github.com/mikeoliphant/NeuralAudio
 
 https://github.com/lv2/lv2
 
-In addition, the CMake structure and LV2 plugin structure are based on code from https://github.com/Dougal-s/Aether.
+The CMake structure and LV2 plugin structure are based on code from https://github.com/Dougal-s/Aether.
+
+modgui user interface is by Roman Brandstetter (@rominator1983) and Filipe Coelho (@falktk) based on design from Evan Heritage.

README.md

@@ -1,33 +1,34 @@
 # neural-amp-modeler-lv2
 
-LV2 plugin for using neural network machine learning amp models.
+LV2 plugin for neural network machine learning amp model playback using the [NeuralAudio](https://github.com/mikeoliphant/NeuralAudio) engine.
 
 **There is no custom plugin user interface**. Setting the model to use requires that your LV2 host supports atom:Path parameters. Reaper does as of v6.82. Carla and Ardour do. If your favorite LV2 host does not support atom:Path, let them know you want it.
-If you are looking for a GUI version, @brummer10 [has one here](https://github.com/brummer10/neural-amp-modeler-ui) that works for Linux and Windows. You may also be interested in the the version shipped with the [MOD Desktop App](https://github.com/moddevices/mod-desktop-app), or my digital pedalboard app [Stompbox](https://github.com/mikeoliphant/StompboxUI).
+If you are looking for a GUI version, @brummer10 [has one here](https://github.com/brummer10/neural-amp-modeler-ui) that works for Linux and Windows. You may also be interested in the the version shipped with the [MOD Desktop App](https://github.com/moddevices/mod-desktop-app), or my digital pedalboard app [Stompbox](https://github.com/mikeoliphant/Stompbox).
 
 To get the intended behavior, **you must run your audio host at the same sample rate the model was trained at** (usually 48kHz) - no resampling is done by the plugin.
 
 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 best source of models is [ToneHunt](https://tonehunt.org/).
+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.
 
-A Raspberry Pi 4 running a 64bit OS can run "standard" NAM models with a bit of room to spare for a cabinet IR and some lightweight effects.
+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 ToneHunt](https://tonehunt.org/models?tags%5B0%5D=feather-mdl). 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
 
 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
@@ -53,8 +54,10 @@ 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
+## CMake Options
 
-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.
+```-DUSE_NATIVE_ARCH=ON```: 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.
 
-You can also alter the default model loading behavior with ```-DLSTM_PREFER_NAM=ON``` (use NAM Core instead of RTNeural for NAM LSTM models) and ```-DWAVENET_PREFER_NAM=ON``` (use NAM Core instead of RTNeural or NAM WaveNet models).
+```-DSMART_BYPASS_ENABLED=ON```: If enabled, this will bypass model processing if input has been silent (below -100 dB by default) for a sufficient number of samples (determined by the model's receptive field size).
+
+Also see the [NeuralAudio CMake options](https://github.com/mikeoliphant/NeuralAudio#cmake-options) - adding these to your neural-amp-modeler-lv2 cmake will pass them to the NeuralAudio build.

resources/manifest.ttl.in

@@ -5,4 +5,4 @@
 <@NAM_LV2_ID@>
 	a lv2:Plugin;
 	lv2:binary <neural_amp_modeler@CMAKE_SHARED_MODULE_SUFFIX@>;
-	rdfs:seeAlso <neural_amp_modeler.ttl>.
+	rdfs:seeAlso <neural_amp_modeler.ttl>,<modgui.ttl>.

resources/modgui.ttl

@@ -0,0 +1,21 @@
+@prefix modgui: <http://moddevices.com/ns/modgui#>.
+@prefix lv2:    <http://lv2plug.in/ns/lv2core#>.
+
+<http://github.com/mikeoliphant/neural-amp-modeler-lv2>
+    modgui:gui [
+        modgui:resourcesDirectory <modgui>;
+        modgui:iconTemplate <modgui/icon-nam.html>;
+        modgui:stylesheet <modgui/stylesheet-nam.css>;
+        modgui:screenshot <modgui/screenshot-nam.png>;
+        modgui:thumbnail <modgui/thumbnail-nam.png>;
+        modgui:discussionURL <https://forum.mod.audio/t/neural-amp-modeler/10112> ;
+        modgui:port [
+            lv2:index 0;
+            lv2:symbol "input_level";
+            lv2:name "Input Lvl";
+        ], [
+            lv2:index 1;
+            lv2:symbol "output_level";
+            lv2:name "Output Lvl";
+        ];
+    ].

resources/modgui/icon-nam.html

@@ -0,0 +1,45 @@
+<div class="mod-pedal mod-pedal-nam">
+    <div mod-role="drag-handle" class="mod-drag-handle"></div>
+    <div class="mod-control-group group1 clearfix">
+        {{#controls}}
+        <div class="mod-knob" title="{{name}}">
+            <div class="mod-knob-title">{{name}}</div>
+            <div class="mod-knob-image" mod-role="input-control-port" mod-port-symbol="{{symbol}}"></div>
+        </div>
+        {{/controls}}
+    </div>
+    <div class="mod-footswitch" mod-role="bypass"></div>
+
+    <div class="mod-control-group group2 clearfix">
+        <div class="mod-control-group mod-enumerated-group bottom clearfix">
+            {{#effect.parameters}}
+            {{#path}}
+            <div class="mod-enumerated" mod-role="input-parameter" mod-parameter-uri="{{uri}}" mod-widget="custom-select-path">
+                <div mod-role="input-parameter-value" mod-parameter-uri="{{uri}}" class="mod-enumerated-selected">
+                    -- choose a NAM model --
+                </div>
+                <div class="mod-enumerated-list">
+                    {{#files}}
+                    <div mod-role="enumeration-option" mod-parameter-value="{{fullname}}">{{basename}}</div>
+                    {{/files}}
+                </div>
+            </div>
+            {{/path}}
+            {{/effect.parameters}}
+        </div>
+    </div>
+    <div class="mod-pedal-input">
+        {{#effect.ports.audio.input}}
+        <div class="mod-input mod-input-disconnected" title="{{name}}" mod-role="input-audio-port" mod-port-symbol="{{symbol}}">
+            <div class="mod-pedal-input-image"></div>
+        </div>
+        {{/effect.ports.audio.input}}
+    </div>
+    <div class="mod-pedal-output">
+        {{#effect.ports.audio.output}}
+        <div class="mod-output mod-output-disconnected" title="{{name}}" mod-role="output-audio-port" mod-port-symbol="{{symbol}}">
+            <div class="mod-pedal-output-image"></div>
+        </div>
+        {{/effect.ports.audio.output}}
+    </div>
+</div>

resources/modgui/stylesheet-nam.css

@@ -0,0 +1,130 @@
+/* nam */
+
+@import url(/fonts/nexa/stylesheet.css);
+@import url(/fonts/questrial/stylesheet.css);
+
+/* = CONTAINER
+================================================ */
+.mod-pedal-nam {
+    background-position:center center;
+    background-repeat:no-repeat;
+    /* background image is 1121 × 536*/
+    background-size:560px 268px;
+    background-image:url(/resources/background.png{{{ns}}});
+    width:560px;
+    height:268px;
+    position:absolute;
+    border-radius:40px;
+}
+
+/* = BYPASS
+================================================ */
+.mod-pedal-nam .mod-footswitch {
+    background-image:url(/resources/bypass_on.png{{{ns}}});
+    background-position:center center;
+    background-repeat:no-repeat;
+    background-size:82px 47px;
+    width:82px;
+    height:47px;
+    top:132px;
+    left:235px;
+    cursor:pointer;
+    position:absolute;
+}
+.mod-pedal-nam .mod-footswitch.on {
+    background-image:url(/resources/bypass_off.png{{{ns}}});
+}
+
+/* = KNOBS
+================================================ */
+.mod-pedal-nam .mod-control-group {
+    z-index:30;
+    position:relative;
+    margin:0px;
+    padding:0px;
+    display:inline;
+}
+
+.mod-pedal-nam .group1 {
+    top:86px;
+    left:22px;
+}
+
+.mod-pedal-nam .group2 {
+    top:107px;
+    left:78px;
+}
+
+.mod-pedal-nam .mod-control-group .mod-knob .mod-knob-title {
+    text-align: center;
+    color:white;
+}
+
+.mod-pedal-nam .mod-control-group .mod-knob {
+    overflow:hidden;
+    position:relative;
+    display:inline-block;
+}
+
+.mod-pedal-nam .mod-control-group .mod-knob:first-child {
+    margin-left: 0px;
+}
+
+.mod-pedal-nam .mod-control-group .mod-knob:last-child {
+    margin-left: 315px;
+}
+
+.mod-pedal-nam .mod-control-group .mod-knob .mod-knob-image {
+    background-image:url(/resources/knob.png{{{ns}}});
+    background-position:left center;
+    background-repeat:no-repeat;
+    background-size:5000px 100px;
+    height:100px;
+    width:100px;
+    cursor:pointer;
+}
+
+.mod-pedal-nam .mod-enumerated {
+    position: relative;
+    font-weight: bold;
+    cursor: pointer;
+    color: white;
+}
+
+.mod-pedal-nam .mod-enumerated .mod-enumerated-selected {
+    padding-left: 5px;
+    overflow: hidden;
+    white-space: nowrap;
+    text-overflow: ellipsis;
+    background-color: transparent;
+    color: white;
+    display: block;
+}
+
+/* THE LIST OF OPTIONS */
+.mod-pedal-nam .mod-enumerated .mod-enumerated-list {
+    background: black;
+    display: none;
+    overflow: auto;
+    position: absolute;
+    padding: 0;
+    width: 405px;
+    height: 220px;
+    border: 2px solid #333;
+}
+
+.mod-pedal-nam .mod-enumerated .mod-enumerated-list > div {
+    padding: 3px 5px;
+}
+
+.mod-pedal-nam .mod-enumerated .mod-enumerated-list > div.selected {
+    background: #333;
+}
+
+.mod-pedal-nam .mod-enumerated .mod-enumerated-list > div:hover {
+    background: #222;
+}
+
+.mod-pedal-nam .mod-enumerated .mod-enumerated-list > div.selected:hover {
+    background: #555;
+}

resources/neural_amp_modeler.ttl.in

@@ -16,7 +16,7 @@
 
 <@NAM_LV2_ID@#model>
 	a lv2:Parameter;
-	mod:fileTypes "nam,nammodel,json,aidax";
+	mod:fileTypes "nam,nammodel,json,aidax,aidadspmodel";
 	rdfs:label "Neural Model";
 	rdfs:range atom:Path.
 

src/CMakeLists.txt

@@ -18,8 +18,14 @@ if (CMAKE_SYSTEM_PROCESSOR MATCHES "(amd64)|(AMD64)|(x86_64)")
 	option(USE_NATIVE_ARCH "Enable architecture-specific optimizations" OFF)
 
 	if (USE_NATIVE_ARCH)
-		add_compile_options(-march=x86-64-v3)
-		message("Enabling -march=x86-64-v3")
+		if (CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
+			add_compile_options(/arch:AVX2)
+			message(STATUS "Enabling /arch:AVX2")
+		 
+		else()
+			add_compile_options(-march=x86-64-v3)
+			message(STATUS "Enabling -march=x86-64-v3")
+		endif()
 	endif (USE_NATIVE_ARCH)
 endif ()
 
@@ -48,23 +54,11 @@ if (DISABLE_DENORMALS)
 	add_definitions(-DDISABLE_DENORMALS)
 endif (DISABLE_DENORMALS)
 
-option(LSTM_PREFER_NAM "Always use NAM Core for NAM LSTM models" ON)
+option(SMART_BYPASS_ENABLED "Enable auto-bypass on silence" OFF)
 
-if (LSTM_PREFER_NAM)
-	add_definitions(-DLSTM_PREFER_NAM)
-	message("Using NAM Core for LSTM models")
-else()
-	message("Using RTNeural for LSTM models")
-endif (LSTM_PREFER_NAM)
-
-option(WAVENET_PREFER_NAM "Always use NAM Core for NAM WaveNet models" OFF)
-
-if (WAVENET_PREFER_NAM)
-	add_definitions(-DWAVENET_PREFER_NAM)
-	message("Using NAM Core for WaveNet models")
-else()
-	message("Using RTNeural for WaveNet models")
-endif (WAVENET_PREFER_NAM)
+if (SMART_BYPASS_ENABLED)
+	add_definitions(-DSMART_BYPASS_ENABLED)
+endif (SMART_BYPASS_ENABLED)
 
 set_target_properties(neural_amp_modeler
 	PROPERTIES

src/nam_plugin.cpp

@@ -7,27 +7,33 @@
 
 #define SMOOTH_EPSILON .0001f
 
+#ifndef BYPASS_DB_THRESHOLD
+#define BYPASS_DB_THRESHOLD -100
+#endif
+
 namespace NAM {
 	Plugin::Plugin()
 	{
 		// prevent allocations on the audio thread
 		currentModelPath.reserve(MAX_FILE_NAME + 1);
 
-		NeuralAudio::NeuralModel::SetLSTMLoadMode(
-#ifdef LSTM_PREFER_NAM
-			NeuralAudio::PreferNAMCore
-#else
-			NeuralAudio::PreferRTNeural
-#endif
-		);
+		bypassThresholdLinear = powf(10, BYPASS_DB_THRESHOLD * 0.05f);
 
-		NeuralAudio::NeuralModel::SetWaveNetLoadMode(
-#ifdef WAVENET_PREFER_NAM
-			NeuralAudio::PreferNAMCore
-#else
-			NeuralAudio::PreferRTNeural
-#endif
-		);
+//		NeuralAudio::NeuralModel::SetLSTMLoadMode(
+//#ifdef LSTM_PREFER_NAM
+//			NeuralAudio::PreferNAMCore
+//#else
+//			NeuralAudio::PreferRTNeural
+//#endif
+//		);
+//
+//		NeuralAudio::NeuralModel::SetWaveNetLoadMode(
+//#ifdef WAVENET_PREFER_NAM
+//			NeuralAudio::PreferNAMCore
+//#else
+//			NeuralAudio::PreferRTNeural
+//#endif
+		//);
 	}
 
 	Plugin::~Plugin()
@@ -181,6 +187,18 @@ namespace NAM {
 		nam->currentModelPath = msg->path;
 		assert(nam->currentModelPath.capacity() >= MAX_FILE_NAME + 1);
 
+		if (nam->currentModel != nullptr)
+		{
+			int receptiveFieldSize = nam->currentModel->GetReceptiveFieldSize();
+
+			if (receptiveFieldSize > -1)
+			{
+				// A newly loaded model is prewarmed to have a silent sample history
+				nam->silentSamples = receptiveFieldSize;
+				nam->smartBypassed = true;
+			}
+		}
+
 		// send reply
 		nam->schedule->schedule_work(nam->schedule->handle, sizeof(reply), &reply);
 
@@ -241,6 +259,44 @@ namespace NAM {
 		if (currentModel != nullptr)
 		{
 			modelInputAdjustmentDB = currentModel->GetRecommendedInputDBAdjustment();
+
+#ifdef SMART_BYPASS_ENABLED
+			int receptiveFieldSamples = currentModel->GetReceptiveFieldSize();
+
+			if (receptiveFieldSamples > -1)
+			{
+				for (unsigned int i = 0; i < n_samples; i++)
+				{
+					if (abs(ports.audio_in[i]) <= bypassThresholdLinear)
+					{
+						silentSamples++;
+					}
+					else
+					{
+						silentSamples = 0;
+					}
+				}
+
+				if (silentSamples >= (uint32_t)receptiveFieldSamples)
+				{
+					silentSamples = (uint32_t)receptiveFieldSamples;	// Prevent silentSamples growing and eventually overflowing uint32
+
+					if (smartBypassed)
+					{
+						for (unsigned int i = 0; i < n_samples; i++)
+						{
+							ports.audio_out[i] = ports.audio_in[i];
+						}
+
+						return;
+					}
+
+					smartBypassed = true; // If we aren't already, we'll be bypassed on the next process call
+				}
+				else
+					smartBypassed = false;
+			}
+#endif
 		}
 
 		// convert input level from db

src/nam_plugin.h

@@ -80,6 +80,7 @@ namespace NAM {
 
 		bool initialize(double rate, const LV2_Feature* const* features) noexcept;
 		void set_max_buffer_size(int size) noexcept;
+		void activate() noexcept;
 		void process(uint32_t n_samples) noexcept;
 
 		void write_current_path();
@@ -120,5 +121,8 @@ namespace NAM {
 		float inputLevel = 0;
 		float outputLevel = 0;
 		int32_t maxBufferSize = 512;
+		float bypassThresholdLinear = 0;
+		uint32_t silentSamples = 0;
+		bool smartBypassed = true;
 	};
 }