implement all the DSP stuff for AIDA-X
Signed-off-by: falkTX <falktx@falktx.com>
This commit is contained in:
parent
1ad3d130d4
commit
2823dcfe78
3 changed files with 422 additions and 36 deletions
2
.github/workflows/build.yml
vendored
2
.github/workflows/build.yml
vendored
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@ -429,7 +429,7 @@ jobs:
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sudo rm -f /etc/apt/sources.list.d/microsoft-prod.list
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sudo rm -f /etc/apt/sources.list.d/microsoft-prod.list
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sudo dpkg --add-architecture i386
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sudo dpkg --add-architecture i386
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sudo apt-get update -qq
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sudo apt-get update -qq
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sudo apt-get install libc6:i386 libgcc-s1:i386 libstdc++6:i386 --allow-downgrades
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sudo apt-get install -yqq --allow-downgrades libc6:i386 libgcc-s1:i386 libstdc++6:i386
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sudo apt-get clean
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sudo apt-get clean
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- name: Set up dependencies
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- name: Set up dependencies
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if: ${{ matrix.target == 'win32' }}
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if: ${{ matrix.target == 'win32' }}
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9
Makefile
9
Makefile
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@ -200,6 +200,15 @@ else
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gen:
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gen:
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endif
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endif
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# --------------------------------------------------------------
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# extra rules, for quick testing
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jack: carla deps dgl plugins resources
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$(MAKE) jack -C src $(CARLA_EXTRA_ARGS)
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native: carla deps dgl plugins resources
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$(MAKE) native -C src $(CARLA_EXTRA_ARGS)
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# --------------------------------------------------------------
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# --------------------------------------------------------------
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# Packaging standalone for CI
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# Packaging standalone for CI
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@ -34,6 +34,8 @@ static constexpr float MAP(const float x, const float in_min, const float in_max
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/* Defines for tone controls */
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/* Defines for tone controls */
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static constexpr const float COMMON_Q = 0.707f;
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static constexpr const float COMMON_Q = 0.707f;
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static constexpr const float DEPTH_FREQ = 75.f;
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static constexpr const float PRESENCE_FREQ = 900.f;
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/* Defines for antialiasing filter */
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/* Defines for antialiasing filter */
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static constexpr const float INLPF_MAX_CO = 0.99f * 0.5f; /* coeff * ((samplerate / 2) / samplerate) */
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static constexpr const float INLPF_MAX_CO = 0.99f * 0.5f; /* coeff * ((samplerate / 2) / samplerate) */
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@ -52,7 +54,7 @@ struct DynamicModel {
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// This function carries model calculations
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// This function carries model calculations
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static inline
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static inline
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void applyModel(DynamicModel* model, float* const out, uint32_t numSamples)
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void applyModelOffline(DynamicModel* model, float* const out, uint32_t numSamples)
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{
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{
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const bool input_skip = model->input_skip;
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const bool input_skip = model->input_skip;
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const float input_gain = model->input_gain;
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const float input_gain = model->input_gain;
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@ -82,6 +84,54 @@ void applyModel(DynamicModel* model, float* const out, uint32_t numSamples)
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out[i] = custom_model.forward(out + i) * output_gain;
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out[i] = custom_model.forward(out + i) * output_gain;
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}
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}
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}
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}
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else if constexpr (ModelType::input_size == 2)
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{
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float inArray1 alignas(RTNEURAL_DEFAULT_ALIGNMENT)[2];
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if (input_skip)
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{
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for (uint32_t i=0; i<numSamples; ++i)
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{
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inArray1[0] = out[i];
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inArray1[1] = 0.f;
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out[i] += custom_model.forward(inArray1);
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}
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}
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else
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{
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for (uint32_t i=0; i<numSamples; ++i)
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{
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inArray1[0] = out[i];
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inArray1[1] = 0.f;
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out[i] = custom_model.forward(inArray1) * output_gain;
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}
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}
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}
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else if constexpr (ModelType::input_size == 3)
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{
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float inArray2 alignas(RTNEURAL_DEFAULT_ALIGNMENT)[3];
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if (input_skip)
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{
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for (uint32_t i=0; i<numSamples; ++i)
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{
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inArray2[0] = out[i];
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inArray2[1] = 0.f;
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inArray2[2] = 0.f;
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out[i] += custom_model.forward(inArray2);
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}
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}
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else
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{
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for (uint32_t i=0; i<numSamples; ++i)
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{
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inArray2[0] = out[i];
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inArray2[1] = 0.f;
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inArray2[2] = 0.f;
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out[i] = custom_model.forward(inArray2) * output_gain;
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}
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}
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}
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if (input_skip && d_isNotEqual(output_gain, 1.f))
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if (input_skip && d_isNotEqual(output_gain, 1.f))
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{
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{
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@ -94,7 +144,7 @@ void applyModel(DynamicModel* model, float* const out, uint32_t numSamples)
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}
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}
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static inline
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static inline
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float applyModel(DynamicModel* model, float sample)
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float applyModel(DynamicModel* model, float sample, const float param1, const float param2)
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{
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{
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const bool input_skip = model->input_skip;
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const bool input_skip = model->input_skip;
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const float input_gain = model->input_gain;
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const float input_gain = model->input_gain;
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@ -103,13 +153,13 @@ float applyModel(DynamicModel* model, float sample)
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sample *= input_gain;
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sample *= input_gain;
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std::visit(
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std::visit(
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[&sample, input_skip, output_gain] (auto&& custom_model)
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[&sample, input_skip, output_gain, param1, param2] (auto&& custom_model)
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{
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{
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using ModelType = std::decay_t<decltype (custom_model)>;
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using ModelType = std::decay_t<decltype (custom_model)>;
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float* out = &sample;
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if constexpr (ModelType::input_size == 1)
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if constexpr (ModelType::input_size == 1)
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{
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{
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float* out = &sample;
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if (input_skip)
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if (input_skip)
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{
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{
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sample += custom_model.forward(out);
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sample += custom_model.forward(out);
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@ -120,6 +170,32 @@ float applyModel(DynamicModel* model, float sample)
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sample = custom_model.forward(out) * output_gain;
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sample = custom_model.forward(out) * output_gain;
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}
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}
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}
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}
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else if constexpr (ModelType::input_size == 2)
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{
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float inArray1 alignas(RTNEURAL_DEFAULT_ALIGNMENT)[2] = {sample, param1};
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if (input_skip)
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{
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sample += custom_model.forward(inArray1);
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sample *= output_gain;
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}
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else
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{
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sample = custom_model.forward(inArray1) * output_gain;
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}
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}
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else if constexpr (ModelType::input_size == 3)
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{
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float inArray2 alignas(RTNEURAL_DEFAULT_ALIGNMENT)[3] = {sample, param1, param2};
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if (input_skip)
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{
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sample += custom_model.forward(inArray2);
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sample *= output_gain;
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}
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else
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{
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sample = custom_model.forward(inArray2) * output_gain;
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}
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}
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},
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},
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model->variant
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model->variant
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);
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);
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@ -130,11 +206,35 @@ float applyModel(DynamicModel* model, float sample)
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// --------------------------------------------------------------------------------------------------------------------
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// --------------------------------------------------------------------------------------------------------------------
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struct AidaPluginModule : Module {
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struct AidaPluginModule : Module {
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enum ParamIds {
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enum Parameters {
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PARAM_INPUT_LEVEL,
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kParameterINLPF,
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PARAM_OUTPUT_LEVEL,
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kParameterINLEVEL,
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kParameterNETBYPASS,
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kParameterEQBYPASS,
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kParameterEQPOS,
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kParameterBASSGAIN,
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kParameterBASSFREQ,
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kParameterMIDGAIN,
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kParameterMIDFREQ,
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kParameterMIDQ,
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kParameterMTYPE,
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kParameterTREBLEGAIN,
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kParameterTREBLEFREQ,
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kParameterDEPTH,
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kParameterPRESENCE,
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kParameterOUTLEVEL,
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kParameterPARAM1,
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kParameterPARAM2,
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NUM_PARAMS
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NUM_PARAMS
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};
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};
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enum EqPos {
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kEqPost,
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kEqPre
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};
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enum MidEqType {
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kMidEqPeak,
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kMidEqBandpass
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};
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enum InputIds {
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enum InputIds {
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AUDIO_INPUT,
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AUDIO_INPUT,
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NUM_INPUTS
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NUM_INPUTS
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@ -147,16 +247,20 @@ struct AidaPluginModule : Module {
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NUM_LIGHTS
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NUM_LIGHTS
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};
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};
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enum Parameters {
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kParameterCount
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};
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CardinalPluginContext* const pcontext;
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CardinalPluginContext* const pcontext;
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bool fileChanged = false;
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bool fileChanged = false;
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std::string currentFile;
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std::string currentFile;
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Biquad dc_blocker { bq_type_highpass, 0.5f, COMMON_Q, 0.0f };
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Biquad dc_blocker { bq_type_highpass, 0.5f, COMMON_Q, 0.0f };
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Biquad in_lpf { bq_type_lowpass, 0.5f, COMMON_Q, 0.0f };
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Biquad in_lpf { bq_type_lowpass, 0.5f, COMMON_Q, 0.0f };
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Biquad bass { bq_type_lowshelf, 0.5f, COMMON_Q, 0.0f };
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Biquad mid { bq_type_peak, 0.5f, COMMON_Q, 0.0f };
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Biquad treble { bq_type_highshelf, 0.5f, COMMON_Q, 0.0f };
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Biquad depth { bq_type_peak, 0.5f, COMMON_Q, 0.0f };
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Biquad presence { bq_type_highshelf, 0.5f, COMMON_Q, 0.0f };
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float cachedParams[NUM_PARAMS] = {};
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dsp::ExponentialFilter inlevel;
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dsp::ExponentialFilter inlevel;
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dsp::ExponentialFilter outlevel;
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dsp::ExponentialFilter outlevel;
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DynamicModel* model = nullptr;
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DynamicModel* model = nullptr;
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@ -169,8 +273,35 @@ struct AidaPluginModule : Module {
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configInput(AUDIO_INPUT, "Audio");
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configInput(AUDIO_INPUT, "Audio");
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configOutput(AUDIO_OUTPUT, "Audio");
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configOutput(AUDIO_OUTPUT, "Audio");
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configParam(PARAM_INPUT_LEVEL, -12.f, 12.f, 0.f, "Input level", " dB");
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configParam(kParameterINLPF, -0.f, 100.f, 66.216f, "ANTIALIASING", " %");
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configParam(PARAM_OUTPUT_LEVEL, -12.f, 12.f, 0.f, "Output level", " dB");
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configParam(kParameterINLEVEL, -12.f, 12.f, 0.f, "INPUT", " dB");
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configSwitch(kParameterNETBYPASS, 0.f, 1.f, 0.f, "NETBYPASS");
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configSwitch(kParameterEQBYPASS, 0.f, 1.f, 0.f, "EQBYPASS");
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configSwitch(kParameterEQPOS, 0.f, 1.f, 0.f, "NETBYPASS");
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configParam(kParameterBASSGAIN, -8.f, 8.f, 0.f, "BASS", " dB");
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configParam(kParameterBASSFREQ, 60.f, 305.f, 75.f, "BFREQ", " Hz");
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configParam(kParameterMIDGAIN, -8.f, 8.f, 0.f, "MID", " dB");
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configParam(kParameterMIDFREQ, 150.f, 5000.f, 750.f, "MFREQ", " Hz");
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configParam(kParameterMIDQ, 0.2f, 5.f, 0.707f, "MIDQ");
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configSwitch(kParameterMTYPE, 0.f, 1.f, 0.f, "MTYPE");
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configParam(kParameterTREBLEGAIN, -8.f, 8.f, 0.f, "TREBLE", " dB");
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configParam(kParameterTREBLEFREQ, 1000.f, 4000.f, 2000.f, "TFREQ", " Hz");
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configParam(kParameterDEPTH, -8.f, 8.f, 0.f, "DEPTH", " dB");
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configParam(kParameterPRESENCE, -8.f, 8.f, 0.f, "PRESENCE", " dB");
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configParam(kParameterOUTLEVEL, -15.f, 15.f, 0.f, "OUTPUT", " dB");
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configParam(kParameterPARAM1, 0.f, 1.f, 0.f, "PARAM1");
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configParam(kParameterPARAM2, 0.f, 1.f, 0.f, "PARAM2");
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cachedParams[kParameterINLPF] = 66.216f;
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cachedParams[kParameterBASSGAIN] = 0.f;
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cachedParams[kParameterBASSFREQ] = 75.f;
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cachedParams[kParameterMIDGAIN] = 0.f;
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cachedParams[kParameterMIDFREQ] = 750.f;
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cachedParams[kParameterMIDQ] = 0.707f;
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cachedParams[kParameterTREBLEGAIN] = 0.f;
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cachedParams[kParameterTREBLEFREQ] = 2000.f;
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cachedParams[kParameterDEPTH] = 0.f;
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cachedParams[kParameterPRESENCE] = 0.f;
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in_lpf.setFc(MAP(66.216f, 0.0f, 100.0f, INLPF_MAX_CO, INLPF_MIN_CO));
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in_lpf.setFc(MAP(66.216f, 0.0f, 100.0f, INLPF_MAX_CO, INLPF_MIN_CO));
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inlevel.setTau(1 / 30.f);
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inlevel.setTau(1 / 30.f);
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/* Understand which model type to load */
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/* Understand which model type to load */
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input_size = model_json["in_shape"].back().get<int>();
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input_size = model_json["in_shape"].back().get<int>();
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if (input_size > 1) { // MAX_INPUT_SIZE
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if (input_size > MAX_INPUT_SIZE) {
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throw std::invalid_argument("Value for input_size not supported");
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throw std::invalid_argument("Value for input_size not supported");
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}
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}
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@ -302,7 +433,7 @@ struct AidaPluginModule : Module {
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// Pre-buffer to avoid "clicks" during initialization
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// Pre-buffer to avoid "clicks" during initialization
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float out[2048] = {};
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float out[2048] = {};
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applyModel(newmodel.get(), out, ARRAY_SIZE(out));
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applyModelOffline(newmodel.get(), out, ARRAY_SIZE(out));
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// swap active model
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// swap active model
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DynamicModel* const oldmodel = model;
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DynamicModel* const oldmodel = model;
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@ -315,30 +446,207 @@ struct AidaPluginModule : Module {
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delete oldmodel;
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delete oldmodel;
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}
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}
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MidEqType getMidType() const
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{
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return cachedParams[kParameterMTYPE] > 0.5f ? kMidEqBandpass : kMidEqPeak;
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}
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float applyToneControls(float sample)
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{
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return getMidType() == kMidEqBandpass
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? mid.process(sample)
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: presence.process(
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treble.process(
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mid.process(
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bass.process(
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depth.process(sample)))));
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}
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void process(const ProcessArgs& args) override
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void process(const ProcessArgs& args) override
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{
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{
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const float stime = args.sampleTime;
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const float stime = args.sampleTime;
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const float inlevelv = DB_CO(params[PARAM_INPUT_LEVEL].getValue());
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const float inlevelv = DB_CO(params[kParameterINLEVEL].getValue());
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const float outlevelv = DB_CO(params[PARAM_OUTPUT_LEVEL].getValue());
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const float outlevelv = DB_CO(params[kParameterOUTLEVEL].getValue());
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const bool net_bypass = params[kParameterNETBYPASS].getValue() > 0.5f;
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const bool eq_bypass = params[kParameterEQBYPASS].getValue() > 0.5f;
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const EqPos eq_pos = params[kParameterEQPOS].getValue() > 0.5f ? kEqPre : kEqPost;
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// update tone controls
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bool changed = false;
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float value;
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value = params[kParameterINLPF].getValue();
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if (d_isNotEqual(cachedParams[kParameterINLPF], value))
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{
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cachedParams[kParameterINLPF] = value;
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in_lpf.setFc(MAP(value, 0.0f, 100.0f, INLPF_MAX_CO, INLPF_MIN_CO));
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}
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value = params[kParameterBASSGAIN].getValue();
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if (d_isNotEqual(cachedParams[kParameterBASSGAIN], value))
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{
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cachedParams[kParameterBASSGAIN] = value;
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changed = true;
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|
}
|
||||||
|
|
||||||
|
value = params[kParameterBASSFREQ].getValue();
|
||||||
|
if (d_isNotEqual(cachedParams[kParameterBASSFREQ], value))
|
||||||
|
{
|
||||||
|
cachedParams[kParameterBASSFREQ] = value;
|
||||||
|
changed = true;
|
||||||
|
}
|
||||||
|
|
||||||
|
if (changed)
|
||||||
|
{
|
||||||
|
changed = false;
|
||||||
|
bass.setBiquad(bq_type_lowshelf,
|
||||||
|
cachedParams[kParameterBASSFREQ] / args.sampleRate,
|
||||||
|
COMMON_Q,
|
||||||
|
cachedParams[kParameterBASSGAIN]);
|
||||||
|
}
|
||||||
|
|
||||||
|
value = params[kParameterMIDGAIN].getValue();
|
||||||
|
if (d_isNotEqual(cachedParams[kParameterMIDGAIN], value))
|
||||||
|
{
|
||||||
|
cachedParams[kParameterMIDGAIN] = value;
|
||||||
|
changed = true;
|
||||||
|
}
|
||||||
|
|
||||||
|
value = params[kParameterMIDFREQ].getValue();
|
||||||
|
if (d_isNotEqual(cachedParams[kParameterMIDFREQ], value))
|
||||||
|
{
|
||||||
|
cachedParams[kParameterMIDFREQ] = value;
|
||||||
|
changed = true;
|
||||||
|
}
|
||||||
|
|
||||||
|
value = params[kParameterMIDQ].getValue();
|
||||||
|
if (d_isNotEqual(cachedParams[kParameterMIDQ], value))
|
||||||
|
{
|
||||||
|
cachedParams[kParameterMIDQ] = value;
|
||||||
|
changed = true;
|
||||||
|
}
|
||||||
|
|
||||||
|
value = params[kParameterMTYPE].getValue();
|
||||||
|
if (d_isNotEqual(cachedParams[kParameterMTYPE], value))
|
||||||
|
{
|
||||||
|
cachedParams[kParameterMTYPE] = value;
|
||||||
|
changed = true;
|
||||||
|
}
|
||||||
|
|
||||||
|
if (changed)
|
||||||
|
{
|
||||||
|
changed = false;
|
||||||
|
mid.setBiquad(getMidType() == kMidEqBandpass ? bq_type_bandpass : bq_type_peak,
|
||||||
|
cachedParams[kParameterMIDFREQ] / args.sampleRate,
|
||||||
|
cachedParams[kParameterMIDQ],
|
||||||
|
cachedParams[kParameterMIDGAIN]);
|
||||||
|
}
|
||||||
|
|
||||||
|
value = params[kParameterTREBLEGAIN].getValue();
|
||||||
|
if (d_isNotEqual(cachedParams[kParameterTREBLEGAIN], value))
|
||||||
|
{
|
||||||
|
cachedParams[kParameterTREBLEGAIN] = value;
|
||||||
|
changed = true;
|
||||||
|
}
|
||||||
|
|
||||||
|
value = params[kParameterTREBLEFREQ].getValue();
|
||||||
|
if (d_isNotEqual(cachedParams[kParameterTREBLEFREQ], value))
|
||||||
|
{
|
||||||
|
cachedParams[kParameterTREBLEFREQ] = value;
|
||||||
|
changed = true;
|
||||||
|
}
|
||||||
|
|
||||||
|
if (changed)
|
||||||
|
{
|
||||||
|
changed = false;
|
||||||
|
treble.setBiquad(bq_type_highshelf,
|
||||||
|
cachedParams[kParameterTREBLEFREQ] / args.sampleRate,
|
||||||
|
COMMON_Q,
|
||||||
|
cachedParams[kParameterTREBLEGAIN]);
|
||||||
|
}
|
||||||
|
|
||||||
|
value = params[kParameterDEPTH].getValue();
|
||||||
|
if (d_isNotEqual(cachedParams[kParameterDEPTH], value))
|
||||||
|
{
|
||||||
|
cachedParams[kParameterDEPTH] = value;
|
||||||
|
depth.setPeakGain(value);
|
||||||
|
}
|
||||||
|
|
||||||
|
value = params[kParameterPRESENCE].getValue();
|
||||||
|
if (d_isNotEqual(cachedParams[kParameterPRESENCE], value))
|
||||||
|
{
|
||||||
|
cachedParams[kParameterPRESENCE] = value;
|
||||||
|
presence.setPeakGain(value);
|
||||||
|
}
|
||||||
|
|
||||||
// High frequencies roll-off (lowpass)
|
// High frequencies roll-off (lowpass)
|
||||||
float sample = in_lpf.process(inputs[AUDIO_INPUT].getVoltage() * 0.1f) * inlevel.process(stime, inlevelv);
|
float sample = in_lpf.process(inputs[AUDIO_INPUT].getVoltage() * 0.1f) * inlevel.process(stime, inlevelv);
|
||||||
|
|
||||||
|
// Equalizer section
|
||||||
|
if (!eq_bypass && eq_pos == kEqPre)
|
||||||
|
sample = applyToneControls(sample);
|
||||||
|
|
||||||
// run model
|
// run model
|
||||||
if (model != nullptr)
|
if (!net_bypass && model != nullptr)
|
||||||
{
|
{
|
||||||
activeModel.store(true);
|
activeModel.store(true);
|
||||||
sample = applyModel(model, sample);
|
sample = applyModel(model, sample,
|
||||||
|
params[kParameterPARAM1].getValue(),
|
||||||
|
params[kParameterPARAM2].getValue());
|
||||||
activeModel.store(false);
|
activeModel.store(false);
|
||||||
}
|
}
|
||||||
|
|
||||||
// DC blocker filter (highpass)
|
// DC blocker filter (highpass)
|
||||||
outputs[AUDIO_OUTPUT].setVoltage(dc_blocker.process(sample) * outlevel.process(stime, outlevelv) * 10.f);
|
sample = dc_blocker.process(sample);
|
||||||
|
|
||||||
|
// Equalizer section
|
||||||
|
if (!eq_bypass && eq_pos == kEqPost)
|
||||||
|
sample = applyToneControls(sample);
|
||||||
|
|
||||||
|
// Output volume
|
||||||
|
outputs[AUDIO_OUTPUT].setVoltage(sample * outlevel.process(stime, outlevelv) * 10.f);
|
||||||
}
|
}
|
||||||
|
|
||||||
void onSampleRateChange(const SampleRateChangeEvent& e) override
|
void onSampleRateChange(const SampleRateChangeEvent& e) override
|
||||||
{
|
{
|
||||||
|
cachedParams[kParameterBASSGAIN] = params[kParameterBASSGAIN].getValue();
|
||||||
|
cachedParams[kParameterBASSFREQ] = params[kParameterBASSFREQ].getValue();
|
||||||
|
cachedParams[kParameterMIDGAIN] = params[kParameterMIDGAIN].getValue();
|
||||||
|
cachedParams[kParameterMIDFREQ] = params[kParameterMIDFREQ].getValue();
|
||||||
|
cachedParams[kParameterMIDQ] = params[kParameterMIDQ].getValue();
|
||||||
|
cachedParams[kParameterMTYPE] = params[kParameterMTYPE].getValue();
|
||||||
|
cachedParams[kParameterTREBLEGAIN] = params[kParameterTREBLEGAIN].getValue();
|
||||||
|
cachedParams[kParameterTREBLEFREQ] = params[kParameterTREBLEFREQ].getValue();
|
||||||
|
cachedParams[kParameterDEPTH] = params[kParameterDEPTH].getValue();
|
||||||
|
cachedParams[kParameterPRESENCE] = params[kParameterPRESENCE].getValue();
|
||||||
|
|
||||||
dc_blocker.setFc(35.0f / e.sampleRate);
|
dc_blocker.setFc(35.0f / e.sampleRate);
|
||||||
|
|
||||||
|
bass.setBiquad(bq_type_lowshelf,
|
||||||
|
cachedParams[kParameterBASSFREQ] / e.sampleRate,
|
||||||
|
COMMON_Q,
|
||||||
|
cachedParams[kParameterBASSGAIN]);
|
||||||
|
|
||||||
|
mid.setBiquad(getMidType() == kMidEqBandpass ? bq_type_bandpass : bq_type_peak,
|
||||||
|
cachedParams[kParameterMIDFREQ] / e.sampleRate,
|
||||||
|
cachedParams[kParameterMIDQ],
|
||||||
|
cachedParams[kParameterMIDGAIN]);
|
||||||
|
|
||||||
|
treble.setBiquad(bq_type_highshelf,
|
||||||
|
cachedParams[kParameterTREBLEFREQ] / e.sampleRate,
|
||||||
|
COMMON_Q,
|
||||||
|
cachedParams[kParameterTREBLEGAIN]);
|
||||||
|
|
||||||
|
depth.setBiquad(bq_type_peak,
|
||||||
|
DEPTH_FREQ / e.sampleRate,
|
||||||
|
COMMON_Q,
|
||||||
|
cachedParams[kParameterDEPTH]);
|
||||||
|
|
||||||
|
presence.setBiquad(bq_type_highshelf,
|
||||||
|
PRESENCE_FREQ / e.sampleRate,
|
||||||
|
COMMON_Q,
|
||||||
|
cachedParams[kParameterPRESENCE]);
|
||||||
}
|
}
|
||||||
|
|
||||||
DISTRHO_DECLARE_NON_COPYABLE_WITH_LEAK_DETECTOR(AidaPluginModule)
|
DISTRHO_DECLARE_NON_COPYABLE_WITH_LEAK_DETECTOR(AidaPluginModule)
|
||||||
|
@ -501,15 +809,11 @@ struct AidaKnob : app::SvgKnob {
|
||||||
};
|
};
|
||||||
|
|
||||||
struct AidaWidget : ModuleWidgetWithSideScrews<23> {
|
struct AidaWidget : ModuleWidgetWithSideScrews<23> {
|
||||||
static constexpr const float previewBoxHeight = 80.0f;
|
static constexpr const uint kPedalMargin = 10;
|
||||||
static constexpr const float previewBoxBottom = 20.0f;
|
static constexpr const uint kPedalMarginTop = 50;
|
||||||
static constexpr const float previewBoxRect[] = {8.0f,
|
|
||||||
380.0f - previewBoxHeight - previewBoxBottom,
|
|
||||||
15.0f * 23 - 16.0f,
|
|
||||||
previewBoxHeight};
|
|
||||||
static constexpr const float startY_list = startY - 2.0f;
|
static constexpr const float startY_list = startY - 2.0f;
|
||||||
static constexpr const float fileListHeight = 380.0f - startY_list - previewBoxHeight - previewBoxBottom * 1.5f;
|
static constexpr const float fileListHeight = 380.0f - startY_list - 110.0f;
|
||||||
static constexpr const float startY_preview = startY_list + fileListHeight;
|
|
||||||
|
|
||||||
AidaPluginModule* const module;
|
AidaPluginModule* const module;
|
||||||
|
|
||||||
|
@ -524,24 +828,97 @@ struct AidaWidget : ModuleWidgetWithSideScrews<23> {
|
||||||
addInput(createInput<PJ301MPort>(Vec(startX_In, 25), module, 0));
|
addInput(createInput<PJ301MPort>(Vec(startX_In, 25), module, 0));
|
||||||
addOutput(createOutput<PJ301MPort>(Vec(startX_Out, 25), module, 0));
|
addOutput(createOutput<PJ301MPort>(Vec(startX_Out, 25), module, 0));
|
||||||
|
|
||||||
addChild(createParamCentered<AidaKnob>(Vec(box.size.x * 0.5f - 50, box.size.y - 60),
|
addChild(createParamCentered<AidaKnob>(Vec(50, box.size.y - 60),
|
||||||
module, AidaPluginModule::PARAM_INPUT_LEVEL));
|
module, AidaPluginModule::kParameterINLEVEL));
|
||||||
|
|
||||||
addChild(createParamCentered<AidaKnob>(Vec(box.size.x * 0.5f + 50, box.size.y - 60),
|
addChild(createParamCentered<AidaKnob>(Vec(100, box.size.y - 60),
|
||||||
module, AidaPluginModule::PARAM_OUTPUT_LEVEL));
|
module, AidaPluginModule::kParameterBASSGAIN));
|
||||||
|
|
||||||
|
addChild(createParamCentered<AidaKnob>(Vec(150, box.size.y - 60),
|
||||||
|
module, AidaPluginModule::kParameterMIDGAIN));
|
||||||
|
|
||||||
|
addChild(createParamCentered<AidaKnob>(Vec(200, box.size.y - 60),
|
||||||
|
module, AidaPluginModule::kParameterTREBLEGAIN));
|
||||||
|
|
||||||
|
addChild(createParamCentered<AidaKnob>(Vec(250, box.size.y - 60),
|
||||||
|
module, AidaPluginModule::kParameterDEPTH));
|
||||||
|
|
||||||
|
addChild(createParamCentered<AidaKnob>(Vec(300, box.size.y - 60),
|
||||||
|
module, AidaPluginModule::kParameterPRESENCE));
|
||||||
|
|
||||||
|
addChild(createParamCentered<AidaKnob>(Vec(350, box.size.y - 60),
|
||||||
|
module, AidaPluginModule::kParameterOUTLEVEL));
|
||||||
|
|
||||||
if (m != nullptr)
|
if (m != nullptr)
|
||||||
{
|
{
|
||||||
AidaModelListWidget* const listw = new AidaModelListWidget(m);
|
AidaModelListWidget* const listw = new AidaModelListWidget(m);
|
||||||
listw->box.pos = Vec(0, startY_list);
|
listw->box.pos = Vec(kPedalMargin, startY_list);
|
||||||
listw->box.size = Vec(box.size.x, fileListHeight);
|
listw->box.size = Vec(box.size.x - kPedalMargin * 2, fileListHeight);
|
||||||
addChild(listw);
|
addChild(listw);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
void draw(const DrawArgs& args) override
|
void draw(const DrawArgs& args) override
|
||||||
{
|
{
|
||||||
drawBackground(args.vg);
|
const double widthPedal = box.size.x - kPedalMargin * 2;
|
||||||
|
const double heightPedal = box.size.y - kPedalMargin - kPedalMarginTop;
|
||||||
|
const int cornerRadius = 12;
|
||||||
|
|
||||||
|
// outer bounds gradient
|
||||||
|
nvgBeginPath(args.vg);
|
||||||
|
nvgRect(args.vg, 0, 0, box.size.x, box.size.y);
|
||||||
|
nvgFillPaint(args.vg,
|
||||||
|
nvgLinearGradient(args.vg,
|
||||||
|
0, 0, 0, box.size.y,
|
||||||
|
nvgRGB(0xff - 0xcd + 50, 0xff - 0xff + 50, 0xff),
|
||||||
|
nvgRGB(0xff - 0x8b + 50, 0xff - 0xf7 + 50, 0xff)));
|
||||||
|
nvgFill(args.vg);
|
||||||
|
|
||||||
|
// outer bounds pattern
|
||||||
|
// TODO
|
||||||
|
|
||||||
|
// box shadow
|
||||||
|
nvgBeginPath(args.vg);
|
||||||
|
nvgRect(args.vg,
|
||||||
|
kPedalMargin / 2,
|
||||||
|
kPedalMarginTop / 2,
|
||||||
|
kPedalMargin + widthPedal,
|
||||||
|
kPedalMarginTop + heightPedal);
|
||||||
|
nvgFillPaint(args.vg,
|
||||||
|
nvgBoxGradient(args.vg,
|
||||||
|
kPedalMargin,
|
||||||
|
kPedalMarginTop,
|
||||||
|
widthPedal,
|
||||||
|
heightPedal,
|
||||||
|
cornerRadius,
|
||||||
|
cornerRadius,
|
||||||
|
nvgRGBA(0,0,0,1.f),
|
||||||
|
nvgRGBA(0,0,0,0.f)));
|
||||||
|
nvgFill(args.vg);
|
||||||
|
|
||||||
|
// .rt-neural .grid
|
||||||
|
nvgBeginPath(args.vg);
|
||||||
|
nvgRoundedRect(args.vg, kPedalMargin, kPedalMarginTop, widthPedal, heightPedal, cornerRadius);
|
||||||
|
nvgFillPaint(args.vg,
|
||||||
|
nvgLinearGradient(args.vg,
|
||||||
|
kPedalMargin, kPedalMarginTop,
|
||||||
|
kPedalMargin + box.size.x * 0.52f, 0,
|
||||||
|
nvgRGB(28, 23, 12),
|
||||||
|
nvgRGB(42, 34, 15)));
|
||||||
|
nvgFill(args.vg);
|
||||||
|
|
||||||
|
nvgFillPaint(args.vg,
|
||||||
|
nvgLinearGradient(args.vg,
|
||||||
|
kPedalMargin + box.size.x * 0.5f, 0,
|
||||||
|
kPedalMargin + box.size.x, 0,
|
||||||
|
nvgRGB(42, 34, 15),
|
||||||
|
nvgRGB(19, 19, 19)));
|
||||||
|
nvgFill(args.vg);
|
||||||
|
|
||||||
|
// extra
|
||||||
|
nvgStrokeColor(args.vg, nvgRGBA(150, 150, 150, 0.25f));
|
||||||
|
nvgStroke(args.vg);
|
||||||
|
|
||||||
drawOutputJacksArea(args.vg);
|
drawOutputJacksArea(args.vg);
|
||||||
|
|
||||||
ModuleWidget::draw(args);
|
ModuleWidget::draw(args);
|
||||||
|
|
Loading…
Add table
Add a link
Reference in a new issue