The Python Speech Recognition Library

Python Speech Recognition

Transforming Speech to Text!

The SpeechRecognition library in Python empowers developers to transcribe spoken words into text, offering versatile capabilities for audio processing. This guide some of the functionalities of SpeechRecognition, showcasing its usage, supported audio formats, and practical applications for speech-to-text conversion.


You can easily install the SpeechRecognition library with pip:

pip install SpeechRecognition
Additional Audio Packages

I’m working with a Linux distro on the NVidia Jetson Nano, and it was necessary for me to install these additional packages to get the microphone working correctly. 

sudo apt install python-pyaudio python3-pyaudio
sudo apt install portaudio19-dev python-all-dev
pip3 install pyaudio

Python Code Example

Here’s a basic Python code example that demonstrates speech recognition using the SpeechRecognition library:

import speech_recognition as sr

# Create a recognizer object
r = sr.Recognizer()

# Use the default microphone as the audio source
with sr.Microphone() as source:
    print("Speak something...")
    audio = r.listen(source)  # Listen for audio input from the microphone

    # Recognize speech using Google Speech Recognition
    text = r.recognize_google(audio)
    print("You said:", text)
except sr.UnknownValueError:
    print("Sorry, I could not understand audio.")
except sr.RequestError as e:
    print("Error occurred during speech recognition:", str(e))
Breaking Down the Code
  • The SpeechRecognition library is imported as sr.
  • An instance of the Recognizer class is created.
  • The default microphone is set as the audio source using the Microphone class.
  • The user is prompted to speak something.
  • The listen() method is called on the recognizer object to capture the audio input from the microphone.
  • The captured audio is passed to the Google Speech Recognition engine through the recognize_google() method for speech recognition.
  • The recognized text is printed as output.
  • Exception handling is implemented to catch any errors that may occur during speech recognition.


Python’s SpeechRecognition library simplifies the conversion of speech to text, offering a versatile solution for audio processing tasks. By harnessing its capabilities, developers can unlock innovative applications in various domains. Remember to have a reliable internet connection to use the Google Speech Recognition engine, as it requires an internet connection to perform the speech-to-text conversion.

That’s All Folks!

You can explore more of our Python guides here: Python Guides

Luke Barber

Hello, fellow tech enthusiasts! I'm Luke, a passionate learner and explorer in the vast realms of technology. Welcome to my digital space where I share the insights and adventures gained from my journey into the fascinating worlds of Arduino, Python, Linux, Ethical Hacking, and beyond. Armed with qualifications including CompTIA A+, Sec+, Cisco CCNA, Unix/Linux and Bash Shell Scripting, JavaScript Application Programming, Python Programming and Ethical Hacking, I thrive in the ever-evolving landscape of coding, computers, and networks. As a tech enthusiast, I'm on a mission to simplify the complexities of technology through my blogs, offering a glimpse into the marvels of Arduino, Python, Linux, and Ethical Hacking techniques. Whether you're a fellow coder or a curious mind, I invite you to join me on this journey of continuous learning and discovery.

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