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.
Diese Übung ist Teil des Kurses
Spoken Language Processing in Python
Anleitung zur Übung
- Import the Python
wavelibrary. - Read in the
good_morning.wavaudio file and save it togood_morning. - Create
signal_gmby reading all the frames fromgood_morningusingreadframes(). - See what the first 10 frames of audio look like by slicing
signal_gm.
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
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[:____])