[TJBOT紙板機器人] 第一次製作機器人就上手-程式進階篇_語音控制LED

/************************************************************************
* Copyright 2016 IBM Corp. All Rights Reserved.
*
* Watson Maker Kits
*
* This project is licensed under the Apache License 2.0, see LICENSE.*
*
************************************************************************
*
* Control a NeoPixel LED unit connected to a Raspberry Pi pin through voice commands
* Must run with root-level protection
* sudo node stt.js

 Based on example NeoPixel code by Jeremy Garff (jer@jers.net)

 Follow the instructions in http://www.instructables.com/id/Use-Your-Voice-to-Control-a-Light-With-Watson/ to
 get the system ready to run this code.
*/

//modified to single LED version, no NeoPixel needed, CAVEDU, Feb 2017

//STEP1
var watson = require('watson-developer-cloud');
var config = require('./config');  // gets our username and passwords from the config.js files
var speech_to_text = watson.speech_to_text({
    username: config.username,
    password: config.password,
    version: config.version
});

//STEP2
// Initiate Microphone Instance to Get audio samples
var mic = require('mic');
var micInstance = mic({ 'rate': '44100', 'channels': '2', 'debug': false, 'exitOnSilence': 6 });
var micInputStream = micInstance.getAudioStream();

micInputStream.on('data', function(data) {
    //console.log("Recieved Input Stream: " + data.length);
});

micInputStream.on('error', function(err) {
    console.log("Error in Input Stream: " + err);
});

micInputStream.on('silence', function() {
    // detect silence.
});
micInstance.start();
console.log("TJBot is listening, you may speak now.");

//設定GPIO來控制LED亮滅
var Gpio = require('onoff').Gpio;
var led = new Gpio(14, 'out');

//STEP3
var recognizeparams = {
  content_type: 'audio/l16; rate=44100; channels=2',
  model: 'en-US_BroadbandModel'  //請由此設定語系
};
var textStream = micInputStream.pipe(
    speech_to_text.createRecognizeStream(recognizeparams)
);

//STEP4
textStream.setEncoding('utf8');
textStream.on('data', function(str) {
    console.log(' ===== Speech to Text ===== : ' + str); // print each text we receive
    parseText(str);
});

textStream.on('error', function(err) {
  console.log(' === Watson Speech to Text : An Error has occurred =====') ; // handle errors
  console.log(err) ;
  console.log("Press <ctrl>+C to exit.") ;
});

function parseText(str) {
    if (containsText(str, "light") && containsText(str, "on")) {
        console.log("Turn ON");
        led.writeSync(1)
    } else if (containsText(str, "light") && containsText(str, "off")) {
        console.log("Turn OFF");
        led.writeSync(0)
    } else {
        console.log("Please say something like turn on/off the light");
    }
}

function containsText(str, keyword) {
    return str.indexOf(keyword) >= 0;
}