How to Convert Voice to Text in Python

Speech Recognition is an important feature in several applications used such as home automation, artificial intelligence, etc.

First, let’s install the required modules:

• pip install speechrecognition
• pip install pyaudio
• pip install pyttsx3

Speech Input Using a Microphone and Translation of Speech to Text

• Allow Adjusting for Ambient Noise: Since the surrounding noise varies, we must allow the program a second or too to adjust the energy threshold of recording so it is adjusted according to the external noise level.
• Speech to text translation: This is done with the help of Google Speech Recognition. This requires an active internet connection to work. However, there are certain offline Recognition systems such as PocketSphinx but have a very rigorous installation process that requires several dependencies. Google Speech Recognition is one of the easiest to use.

import speech_recognition as sr 
import pyttsx3 

# Initialize the recognizer 
r = sr.Recognizer() 

# Function to convert text to 
# speech 
def SpeakText(command): 
	
	# Initialize the engine 
	engine = pyttsx3.init() 
	engine.say(command) 
	engine.runAndWait() 
	
	
# Loop infinitely for user to 
# speak 

while(1):	 
	
	# Exception handling to handle 
	# exceptions at the runtime 
	try: 
		
		# use the microphone as source for input. 
		with sr.Microphone() as source2: 
			
			# wait for a second to let the recognizer 
			# adjust the energy threshold based on 
			# the surrounding noise level 
			r.adjust_for_ambient_noise(source2, duration=0.2) 
			
			#listens for the user's input 
			audio2 = r.listen(source2) 
			
			# Using ggogle to recognize audio 
			MyText = r.recognize_google(audio2) 
			MyText = MyText.lower() 

			print(MyText) 
			SpeakText(MyText) 
			
	except sr.RequestError as e: 
		print("Could not request results; {0}".format(e)) 
		
	except sr.UnknownValueError: 
		print("unknown error occured")