Speech Recognition in Python

by ganesh Updated: Feb 1, 2023

Real-time speech recognition in Python refers to the ability of a computer program to transcribe spoken words into written text in real-time. You can use a library like SpeechRecognition to recognize speech in real time in Python. It supports several various engines and APIs, such as Microsoft Bing Voice Recognition and Google Speech Recognition.

Real-time voice recognition in Python has a wide range of uses, including:

Voice-controlled assistants: These virtual assistants, like Siri or Alexa, can be operated via voice commands.
Speech-to-text transcription: This tool turns audible words into written text and is useful in professions including journalism, law, and medicine.
Voice biometrics: This application uses a person's distinctive voice patterns to authenticate and identify them.
Real-time language translation: This program helps people who speak various languages communicate more easily by translating spoken words from one language to another.
Speech-based accessibility: Applications that assist people with disabilities, such as text-to-speech or speech-to-text for the visually impaired.

Here is how you can recognize speech in real-time in Python:

Fig 1: Preview of the output that you will get on running this code from your IDE

Code

In this solution, we use the Recognizer function of the Speech Recognition library

Python speech_recognition IF Speech not recognised

PythonLines of Code : 35License : CC BY-SA 4.0

Dependent Libraries :

import speech_recognition as sr
import subprocess as sp
import os

def ouvir_microfone():

    audio_Input = sr.Recognizer()

    with sr.Microphone() as source:
        
        Ray = "ON"
        Open = "Open"

        print("Hello my name is Ray pleased to help you")

        audio_Input.adjust_for_ambient_noise(source)
        print("Say something: ")
        audio = audio_Input.listen(source)
        try:
            # valid
            frase = audio_Input.recognize_google(audio,language='en-US')
            print("You said: " + frase)
        except: 
            # google could not validate
            print("Speech not recognised")
            return False

        if Open in frase:
            print('sucess') 
        return True
while True:
    if ouvir_microfone():
        # got a valid response
        break

Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
Run the file. You will be prompted to speak something through your microphone
The speech in real-time gets processed and displayed on screen

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for "speech recognition in python" in kandi. You can try any such use case!

Dependent Libraries

speech_recognitionby Uberi

Python 6738 Version:3.9.0

License: Permissive (BSD-3-Clause)

Speech recognition module for Python, supporting several engines and APIs, online and offline.

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Quality

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License

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speech_recognitionby Uberi

Python 6738 Version:3.9.0 License: Permissive (BSD-3-Clause)

Speech recognition module for Python, supporting several engines and APIs, online and offline.

Support

Quality

Security

License

Reuse

pyaudioby jleb

C 99 Version:Current

License: No License (null)

http://people.csail.mit.edu/hubert/pyaudio/

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Quality

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pyaudioby jleb

C 99 Version:Current License: No License

http://people.csail.mit.edu/hubert/pyaudio/

Support

Quality

Security

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Reuse

If you do not have Speech Recognition that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the Speech Recognition page in kandi.

You can search for any dependent library on kandi like SpeechRecognition.

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

The solution is created in Python3.9.
The solution is tested on SpeechRecognition 3.8.1 and PyAudio 0.2.12 versions.

Using this solution, we are able to make blurred images using the OpenCV library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us to recognize speech in real-time in Python.