Importing an audio file with Python

You've seen how there are different kinds of audio files and how streaming music and spoken language have different sampling rates. But now we want to start working with these files.

To begin, we're going to import the good_morning.wav audio file using Python's in-built wave library. Then we'll see what it looks like in byte form using the built-in readframes() method.

You can listen to good_morning.wav here.

Remember, good_morning.wav is only a few seconds long but at 48 kHz, that means it contains 48,000 pieces of information per second.

This exercise is part of the course

Spoken Language Processing in Python

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Exercise instructions

Import the Python wave library.
Read in the good_morning.wav audio file and save it to good_morning.
Create signal_gm by reading all the frames from good_morning using readframes().
See what the first 10 frames of audio look like by slicing signal_gm.

Hands-on interactive exercise

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

import ____

# Create audio file wave object
good_morning = wave.open(____, 'r')

# Read all frames from wave object 
____ = good_morning.readframes(-1)

# View first 10
print(signal_gm[:____])

Edit and Run Code