zählen

  // Global variable to store the classifier

let classifier;

​

// Label

let label = 'listening...';

let confidence;

​

let Nachricht = 0;

let Gruppe = 0;

​

// Teachable Machine model URL:

let soundModel = 'https://teachablemachine.withgoogle.com/models/UFsls6ZM2/';

​

​

function preload() {

  // Load the model

  classifier = ml5.soundClassifier(soundModel + 'model.json');

}

​

function setup() {

  createCanvas(windowWidth, windowHeight);

  // Start classifying

  // The sound model will continuously listen to the microphone

  classifier.classify(gotResult);

}

​

function draw() {

  background(200,30,70);

  // Draw the label in the canvas

  fill(255);

  textSize(50);

  textAlign(CENTER, CENTER);

  text("Nachricht: " + Nachricht, width / 2, height / 3);

  text("Gruppe: " + Gruppe, width / 2, height / 2);

​

}

​

​

// The model recognizing a sound will trigger this event

function gotResult(error, results) {

  if (error) {

    console.error(error);

    return;

  }

  // The results are in an array ordered by confidence.

  // console.log(results[0]);

  label = results[0].label;

  confidence = nf(results[0].confidence, 0, 2);

  //print(label + " / " + confidence);

  if (label.indexOf("Nachricht") > -1 && confidence > 0.9)

    Nachricht += 1;

  else if (label.indexOf("Gruppe") > -1 && confidence > 0.9)

    Gruppe += 1;

}