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
Exercise instructions
- Import the Python
wave
library. - Read in the
good_morning.wav
audio file and save it togood_morning
. - Create
signal_gm
by reading all the frames fromgood_morning
usingreadframes()
. - 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[:____])