Update README

README.md

@@ -18,8 +18,9 @@ mix them to simulate your specific tone.
 Ratatouille using parallel processing for the neural models,
 so, loading a second neural model wouldn't be remarkable on the dsp load.
 
-The "Delay" control could add a small delay to the second model to overcome phasing issues,
+The "Delay" control could add a small delay to overcome phasing issues,
 or to add some color/reverb to the sound. 
+The 'ctrl' key activate fine tuning to dial in a sample accurate delay.
 
 To round up your sound you can load two Impulse Response Files and mix them to your needs.
 IR-files could be normalised on load, so that they didn't influence the loudness. 

Ratatouille/ModelerSelector.h

@@ -76,13 +76,13 @@ class NeuralModel : public ModelerBase {
 public:
     std::string                     modelFile;
 
-    void setModelFile(std::string modelFile_) { modelFile = modelFile_;}
-    inline void clearState();
-    inline void init(unsigned int sample_rate);
-    void connect(uint32_t port,void* data);
-    inline void compute(int count, float *input0, float *output0);
-    bool loadModel();
-    void unloadModel();
+    void setModelFile(std::string modelFile_) override { modelFile = modelFile_;}
+    inline void clearState() override;
+    inline void init(unsigned int sample_rate) override;
+    void connect(uint32_t port,void* data) override;
+    inline void compute(int count, float *input0, float *output0) override;
+    bool loadModel() override;
+    void unloadModel() override;
 
     NeuralModel(std::condition_variable *var);
     ~NeuralModel();
@@ -113,13 +113,13 @@ class RtNeuralModel : public ModelerBase {
 public:
     std::string                     modelFile;
 
-    void setModelFile(std::string modelFile_) { modelFile = modelFile_;}
-    inline void clearState();
-    inline void init(unsigned int sample_rate);
-    void connect(uint32_t port,void* data);
-    inline void compute(int count, float *input0, float *output0);
-    bool loadModel();
-    void unloadModel();
+    void setModelFile(std::string modelFile_) override { modelFile = modelFile_;}
+    inline void clearState() override;
+    inline void init(unsigned int sample_rate) override;
+    void connect(uint32_t port,void* data) override;
+    inline void compute(int count, float *input0, float *output0) override;
+    bool loadModel() override;
+    void unloadModel() override;
 
     RtNeuralModel(std::condition_variable *var);
     ~RtNeuralModel();