In Python, a speech recognition package is a audio software library or module. It allows developers to incorporate speech recognition capabilities into their applications.
Speech recognition packages enable a program to convert spoken language into text.
One of the popular speech recognition packages in Python is the “SpeechRecognition” library.
It provides a simple and convenient way to work with various speech recognition engines and APIs.
Conesquenty, we will see some of the engines and APIs supported by SpeechRecognition.
These engines and APIs supported by SpeechRecognition include the following libraries.
Let’s add audio to our app
CMU Sphinx: An open-source speech recognition system developed by Carnegie Mellon University.
Google Web Speech API: An API that allows you to use Google’s speech recognition service for speech-to-text conversion.
Microsoft Bing Voice Recognition: An API provided by Microsoft for speech recognition.
IBM Watson: IBM’s cloud-based speech recognition service.
Wit.ai: A natural language processing platform that includes speech recognition capabilities.
Here’s a basic example of how to use the SpeechRecognition library.
They perform speech recognition using the Google Web Speech API.
import speech_recognition as sr
listener = sr.Recognizer()
try:
with sr.Microphone() as source:
print('Okay, I am listening...')
voice = listener.listen(source)
command = listener.recognize_google(voice)
print(command)
except:
pass
This code snippet captures audio from the microphone.
It sends it to the Google Web Speech API for recognition, and then prints the recognized text.
However, keep in mind that you may need to install the SpeechRecognition library and its dependencies.
For that you need to use pip before you can use it.
Additionally, you may need an internet connection for certain APIs like the Google Web Speech API to work.
You will get more code in GitHub.
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