thyme

// Reference taken from Golan Levin's Rhyming program

​

// Database taken from University of South Florida Free Association Norms

// http://w3.usf.edu/FreeAssociation/AppendixA/index.html

​

// Inspired by Rob Seward's Death Death Death

// http://robseward.com/ddd/

​

​

// The speech recognizer

var mySpeechRecognizer;

var startWord;

​

// The speech synthesizer

var myVoiceSynthesizer;

​

// The RiTa Lexicon

var myRitaLexicon;

​

//association variables

var processed = true;

var nextWord = "";

var associations = [];

var printArray = [];

var timer;

​

//database of word associations

var tableAB;

var tableC;

var tableDF;

var tableGK;

var tableLO;

var tablePR;

var tableS;

var tableTZ;

​

function preload() {

  //my table is comma separated value "csv"

  //and has a header specifying the columns labels

  tableAB = loadTable('https://www.openprocessing.org/sketch/512691/files/AB.csv', 'csv');

  tableC = loadTable('https://www.openprocessing.org/sketch/512691/files/C.csv', 'csv');

  tableDF = loadTable('https://www.openprocessing.org/sketch/512691/files/DF.csv', 'csv');

  tableGK = loadTable('https://www.openprocessing.org/sketch/512691/files/GK.csv', 'csv');

  tableLO = loadTable('https://www.openprocessing.org/sketch/512691/files/LO.csv', 'csv');

  tablePR = loadTable('https://www.openprocessing.org/sketch/512691/files/PR.csv', 'csv');

  tableS = loadTable('https://www.openprocessing.org/sketch/512691/files/S.csv', 'csv');

  tableTZ = loadTable('https://www.openprocessing.org/sketch/512691/files/TZ.csv', 'csv');

}

​

//=========================================

function setup() {

  createCanvas(500, 500);

​

  // Make the speech recognizer

  startWord = "";

  initializeMySpeechRecognizer(); 

​

  // Make the speech synthesizer

  myVoiceSynthesizer = new p5.Speech();

  myVoiceSynthesizer.setVoice(5);

  myVoiceSynthesizer.setRate(.5);

​

  // Create the RiTa lexicon (for rhyming)

  myRitaLexicon = new RiLexicon();

}

​

//=========================================

function initializeMySpeechRecognizer(){

  mySpeechRecognizer = new p5.SpeechRec('en-US'); 

​

  mySpeechRecognizer.continuous = true; // do continuous recognition

  mySpeechRecognizer.interimResults = false; // allow partial recognition 

  mySpeechRecognizer.onResult = parseResult; // recognition callback

  mySpeechRecognizer.start(); // start engine

​

  console.log(mySpeechRecognizer);

}

​

//=========================================

function draw() {

  background('#B3B3D7');

​

  // draw words

  fill('#43464B');

  textFont("Helvetica");

  textSize(25);

  textAlign(CENTER);

  //var printString = printArray.join('\n');

  //text(printString, width/2, height/2);

  for (var x = 0; x < printArray.length; x++)

  {

    var posn = printArray.length - x;

    fill(0, 0, 0, (255 - 20*posn));

    text(printArray[x], width/2, 25 + (25*posn));

  }

  findNextWord(startWord);

}

​

//=========================================

function keyPressed(){

  // Press the spacebar to reinitialize the recognizer.

  // This is helpful in case it freezes up for some reason.

  // If you have a lot of freezes, consider automating this.

  initializeMySpeechRecognizer();

  startWord = '';

  nextWord = '';

  printArray = [];

}

​

//=========================================

function parseResult() {

  mostRecentConfidence = mySpeechRecognizer.resultConfidence;

  if (mostRecentConfidence > 0.25){ // some confidence threshold...

    console.log (mySpeechRecognizer.resultString);

​

    // The Recognition system will often append words into phrases.

    // So the hack here is to only use the last word:

    startWord = mySpeechRecognizer.resultString.split(' ').pop();

    startWord = startWord.toLowerCase();

    processed = false;

    printArray = [];

    clearTimeout(timer);

  }

}

​

//=========================================

function findNextWord(){

  if ((startWord.length > 0)  && !processed)

  {

    append(printArray, startWord);

    myVoiceSynthesizer.speak(startWord);

    nextWord="";

    associations=[];

    var table;

    var alphabet = startWord.charAt(0);

    alphabet = alphabet;

    if (['a','b'].includes(alphabet))

    {

      table = tableAB;

    }

    if (['c'].includes(alphabet))

    {

      table = tableC;

    }

    if (['d','e', 'f'].includes(alphabet))

    {

      table = tableDF;

    }

    if (['g', 'h', 'i','j','k'].includes(alphabet))

    {

      table = tableGK;

    }

    if (['l','m','n','o'].includes(alphabet))

    {

      table = tableLO;

    }

    if (['p','q','r'].includes(alphabet))

    {

      table = tablePR;

    }

    if (['s'].includes(alphabet))

    {

      table = tableS;

    }

    if (['t','u','v','w','x','y','z'].includes(alphabet))

    {

      table = tableTZ;

    }

    for (var r = 0; r < table.getRowCount(); r++)

    {

      if (table.getString(r, 0).toLowerCase() == startWord)

      {

        append(associations, table.getString(r, 1).toLowerCase().trim());

      }

    }

    if (associations.length > 0)

    {

      nextWord = associations[Math.floor(Math.random() * associations.length)];

    }

    timer = setTimeout(function(){

      startWord = nextWord;

      processed = false;

    }, 3000);

  }

  processed = true; 

}