​

// Label

let label = 'listening...';

​

// Teachable Machine model URL:

let soundModel = 'https://teachablemachine.withgoogle.com/models/CRxZak9cc/';

​

let helloVoice, byeVoice;

​

function preload() {

  // Load the model

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

  helloVoice = loadSound("voice/helloVoice.m4a");

  byeVoice = loadSound("voice/byeVoice.m4a");

  helloVoice.playMode("restart");

  byeVoice.playMode("restart");

}

​

function setup() {

  createCanvas(320, 240);

  // Start classifying

  // The sound model will continuously listen to the microphone

  classifier.classify(gotResult);

}

​

function draw() {

  background(0);

  // Draw the label in the canvas

  fill(255);

  textSize(32);

  textAlign(CENTER, CENTER);

  text(label, width / 2, height / 2);

  if(label === "hello") {

    helloVoice.play();

  } else if(label === "bye") {

    byeVoice.play();

  }

}

​

​

// 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;

}

​