Using the Recognizer class

Now you've created an instance of the Recognizer class we'll use the recognize_google() method on it to access the Google web speech API and turn spoken language into text.

recognize_google() requires an argument audio_data otherwise it will return an error.

US English is the default language. If your audio file isn't in US English, you can change the language with the language argument. A list of language codes can be seen here.

An audio file containing English speech has been imported as clean_support_call_audio. You can listen to the audio file here. SpeechRecognition has also been imported as sr.

To avoid hitting the API request limit of Google's web API, we've mocked the Recognizer class to work with our audio files. This means some functionality will be limited.

This exercise is part of the course

Spoken Language Processing in Python

View Course

Exercise instructions

Call the recognize_google() method on recognizer and pass it clean_support_call_audio.
Set the language argument to "en-US".

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Create a recognizer class
recognizer = sr.Recognizer()

# Transcribe the support call audio
text = ____.____(
  audio_data=____, 
  language=____)

print(text)

Edit and Run Code