ERG::physicalcomputing

projet : Assigner un programme différent à chaque octave de la voix. Donc avec un système de détection des notes et des hauteurs. Chacune des notes seraient assignée à un effet de type stéréo, réverbe, granulator...

Utilisation de processing.

- Réaliser du code qui récupère les données enregistrées par un Micro externe, analyser ces données.

Exo 1 : traduire par une couleur des paliers sur la hauteur du son enregistré.

---

Code utilisé :

-FFT à partir d'un enregistrement micro input -Retour Micro -Changement de couleur du fond en fonction d'une hauteur

ATTENTION UTILISER CASQUE AUDIO SINON LARSEN

import processing.sound.*;

// Declare the sound source and FFT analyzer variables
FFT fft;
AudioIn in;

// Define how many FFT bands to use (this needs to be a power of two)
int bands = 128;

// Define a smoothing factor which determines how much the spectrums of consecutive
// points in time should be combined to create a smoother visualisation of the spectrum.
// A smoothing factor of 1.0 means no smoothing (only the data from the newest analysis
// is rendered), decrease the factor down towards 0.0 to have the visualisation update
// more slowly, which is easier on the eye.
float smoothingFactor = 0.2;

// Create a vector to store the smoothed spectrum data in
float[] sum = new float[bands];

// Variables for drawing the spectrum:
// Declare a scaling factor for adjusting the height of the rectangles
int scale = 5;
// Declare a drawing variable for calculating the width of the 
float barWidth;

public void setup() {
  size(640, 360);
  background(255);

  // Calculate the width of the rects depending on how many bands we have
  barWidth = width/float(bands);

  // Load and play a soundfile and loop it.
  fft = new FFT(this, bands);
  in = new AudioIn(this, 0);
  
  // Create the FFT analyzer and connect the playing soundfile to it.
  in.start();
  fft.input(in);
  //retour micro
  in.play();
}

public void draw() {
 

  // Perform the analysis
  fft.analyze();
  int currentBand = 0;
  float maxVal = 0;
  
  for (int i = 0; i < bands; i++) {
    
    if(fft.spectrum[i] > maxVal){
      currentBand = i;
      maxVal = fft.spectrum[i];
    }
   
    
  }
  
  if(currentBand > 10){
    background(0);
  }else{
    background(255);
  }
  
  
}

---

Effets vocaux :

Dispo dans les exemple de la librairie Sound : https://processing.org/reference/libraries/sound/index.html

Il reste à les coder pour les appliqués à des paliers de hauteur.

Exemple code avec ajout d'un effet à une hauteur donnée :

/**
 * This sketch shows how to use the FFT class to analyze a stream
 * of sound. Change the number of bands to get more spectral bands
 * (at the expense of more coarse-grained time resolution of the spectrum).
 */

import processing.sound.*;

// Declare the sound source and FFT analyzer variables
FFT fft;
AudioIn in;
Delay delay;

// Define how many FFT bands to use (this needs to be a power of two)
int bands = 128;

// Define a smoothing factor which determines how much the spectrums of consecutive
// points in time should be combined to create a smoother visualisation of the spectrum.
// A smoothing factor of 1.0 means no smoothing (only the data from the newest analysis
// is rendered), decrease the factor down towards 0.0 to have the visualisation update
// more slowly, which is easier on the eye.
float smoothingFactor = 0.2;

// Create a vector to store the smoothed spectrum data in
float[] sum = new float[bands];

// Variables for drawing the spectrum:
// Declare a scaling factor for adjusting the height of the rectangles
int scale = 5;
// Declare a drawing variable for calculating the width of the 
float barWidth;

public void setup() {
  size(640, 360);
  background(255);

  // Calculate the width of the rects depending on how many bands we have
  barWidth = width/float(bands);

  // Load and play a soundfile and loop it.
  fft = new FFT(this, bands);
  in = new AudioIn(this, 0);
  
  // Create the FFT analyzer and connect the playing soundfile to it.
  in.start();
  fft.input(in);
  //retour micro
  in.play();
}

public void draw() {
 

  // Perform the analysis
  fft.analyze();
  int currentBand = 0;
  float maxVal = 0;
  
  for (int i = 0; i < bands; i++) {
    
    if(fft.spectrum[i] > maxVal){
      currentBand = i;
      maxVal = fft.spectrum[i];
    }
   
    
  }
  
  if(currentBand > 10){
    background(0);
  }else{
    delay = new Delay(this);
    delay.process(in, 5);
    delay.time(0.5);
  
    background(255);
  }
  
  
}