Method processBlock

Source/PluginProcessor.cpp:176–260

void NeuralPiAudioProcessor::processBlock (AudioBuffer<float>& buffer, MidiBuffer& midiMessages)
{
    ScopedNoDenormals noDenormals;

    // Setup Audio Data
    const int numSamples = buffer.getNumSamples();
    const int numInputChannels = getTotalNumInputChannels();
    const int sampleRate = getSampleRate();

    auto block = dsp::AudioBlock<float>(buffer).getSingleChannelBlock(0);
    auto context = juce::dsp::ProcessContextReplacing<float>(block);

    // Amp =============================================================================
    if (amp_state == 1) {
        auto gain = static_cast<float> (gainParam->get());
        auto master = static_cast<float> (masterParam->get());
        // Note: Default 0.0 -> 1.0 param range is converted to +-12.0 here
        auto bass = (static_cast<float> (bassParam->get() - 0.5) * 24.0);
        auto mid = (static_cast<float> (midParam->get() - 0.5) * 24.0);
        auto treble = (static_cast<float> (trebleParam->get() - 0.5) * 24.0);
        auto presence = (static_cast<float> (presenceParam->get() - 0.5) * 24.0);

        auto delay = (static_cast<float> (delayParam->get()));
        auto reverb = (static_cast<float> (reverbParam->get()));

        auto model = static_cast<float> (modelParam->get());
        model_index = getModelIndex(model);

        auto ir = static_cast<float> (irParam->get());
        ir_index = getIrIndex(ir);

        // Applying gain adjustment for snapshot models
        if (LSTM.input_size == 1) {
            buffer.applyGain(gain * 2.0);
        } 

        // Process EQ
        eq4band.setParameters(bass, mid, treble, presence);// Better to move this somewhere else? Only need to set when value changes
        eq4band.process(buffer.getReadPointer(0), buffer.getWritePointer(0), midiMessages, numSamples, numInputChannels, sampleRate);

        // Apply LSTM model
        if (model_loaded == 1 && lstm_state == true) {
            if (current_model_index != model_index) {
                loadConfig(jsonFiles[model_index]);
                current_model_index = model_index;
            }

            // Process LSTM based on input_size (snapshot model or conditioned model)
            if (LSTM.input_size == 1) {
                LSTM.process(buffer.getReadPointer(0), buffer.getWritePointer(0), numSamples);
            } else {
                LSTM.process(buffer.getReadPointer(0), gain, buffer.getWritePointer(0), numSamples);
            }
        }

        // Process IR
        if (ir_state == true && num_irs > 0) {
            if (current_ir_index != ir_index) {