For this project, we'll be using the following set of commands. To keep things simple, we're using only two sets of commands:

• door open
• door close

Follow the process that was discussed earlier and create a text file and just write the three unique words:

door open close 

Save it and upload it to the Sphinx knowledge base tool and compile it.

Once you have the compressed file downloaded, move on to the next step with this code:

import collections 
import mraa 
import os 
import sys 
import time 

# Import things for pocketsphinx 
import pyaudio 
import wave 
import pocketsphinx as ps 
import sphinxbase 
# Import for Servo  
from Servo import * 

led = mraa.Gpio(13)   
led.dir(mraa.DIR_OUT) 
myServo = Servo("First Servo") 
myServo.attach(6) 

print("Starting") 
while 1: 
         #PocketSphinx parameters 
         LMD   = "/home/root/Voice-Recognition-using-Intel-Edison/8578.lm" 
         DICTD = "/home/root/Voice-Recognition-using-Intel-Edison/8578.dic" 
         CHUNK = 1024 
         FORMAT = pyaudio.paInt16 
         CHANNELS = 1 
         RATE = 16000 
         RECORD_SECONDS = 3 
         PATH = 'Voice-Recognition-using-Intel-Edison' 
         p = pyaudio.PyAudio() 
         speech_rec = ps.Decoder(lm=LMD, dict=DICTD) 
         #Record audio 
         stream = p.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK) 
         print("* recording") 
         frames = [] 
         fori in range(0, int(RATE / CHUNK * RECORD_SECONDS)): 
               data = stream.read(CHUNK) 
               frames.append(data) 
         print("* done recording") 
         stream.stop_stream() 
         stream.close() 
         p.terminate() 
         # Write .wav file 
         fn = "test.wav" 
         #wf = wave.open(os.path.join(PATH, fn), 'wb') 
         wf = wave.open(fn, 'wb') 
         wf.setnchannels(CHANNELS) 
         wf.setsampwidth(p.get_sample_size(FORMAT)) 
         wf.setframerate(RATE) 
         wf.writeframes(b''.join(frames)) 
         wf.close() 

         # Decode speech 
         #wav_file = os.path.join(PATH, fn) 
         wav_file=fn 
         wav_file = file(wav_file,'rb') 
         wav_file.seek(44) 
         speech_rec.decode_raw(wav_file) 
         result = speech_rec.get_hyp() 
         recognised= result[0] 
         print("* LED section begins") 
         print(recognised) 
         ifrecognised == 'DOOR OPEN': 
               led.write(1) 
               myServo.write(90) 
         else: 
               led.write(0) 
               myServo.write(0) 
         cm = 'espeak "'+recognised+'"' 
         os.system(cm) 

The preceding code is more or less similar to the code for switching an LED on and off. The only difference is that the servo control mechanism is added into the existing code. In a simple if else block, we check for the door open and door close conditions. Finally based on what is triggered, we set the LED and the servo to a 90 degrees or 0 degree position.