From AudioFile to AudioData

As you saw earlier, there are some transformation steps we have to take to make our audio data useful. The same goes for SpeechRecognition.

In this exercise, we'll import the clean_support_call.wav audio file and get it ready to be recognized.

We first read our audio file using the AudioFile class. But the recognize_google() method requires an input of type AudioData.

To convert our AudioFile to AudioData, we'll use the Recognizer class's method record() along with a context manager. The record() method takes an AudioFile as input and converts it to AudioData, ready to be used with recognize_google().

SpeechRecognition has already been imported as sr.

This is a part of the course

“Spoken Language Processing in Python”

View Course

Exercise instructions

Pass the AudioFile class clean_support_call.wav.
Use the context manager to open and read clean_support_call as source.
Record source and run the code.

Hands-on interactive exercise

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

# Instantiate Recognizer
recognizer = sr.Recognizer()

# Convert audio to AudioFile
clean_support_call = sr.AudioFile(____)

# Convert AudioFile to AudioData
with ____ as source:
    clean_support_call_audio = recognizer.record(____)

# Transcribe AudioData to text
text = recognizer.recognize_google(clean_support_call_audio,
                                   language="en-US")
print(text)

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