This little gem is like a secret weapon for all you audiophiles out there who want to manipulate and play around with sound files without breaking a sweat (or a bank).
Before anything else, let’s get our hands dirty by importing the audioop module into our Python script:
# Import the audioop module to manipulate and play around with sound files
import audioop
Now that we have it loaded up, let’s see what kind of magic this thing can do. One of its most popular functions is `audioop.reverse()`, which does exactly what you think it would reverse the sound file!
Here’s an example:
# Import the necessary libraries
import audioop # Importing the audioop library for audio operations
from scipy.io import wavfile # Importing the wavfile library from scipy for reading and writing WAV files
# Load a WAV file into memory
(data, sr) = wavfile.read('input_sound.wav') # Using the read() function from wavfile library to read the input sound file and assigning the data and sample rate to variables
# Reverse the sound using `audioop.reverse()`
reversed_data = audioop.reverse(data, format=None) # Using the reverse() function from audioop library to reverse the sound data and assigning it to a variable. The format parameter is set to None as the format of the input data is already known.
# Save the reversed sound to a new WAV file
wavfile.write('output_sound.wav', sr, reversed_data) # Using the write() function from wavfile library to write the reversed sound data to a new WAV file. The sample rate and reversed data are passed as parameters.
Boom! You’ve just created your very own reverse-sound effect using Python and audioop.
The `audioop` module also has a function called `audioop.dither()`, which adds noise to the sound file for better quality when it is played back on low-quality devices (like your phone speaker). Here’s an example:
# Import the necessary modules
import audioop # Import the audioop module for manipulating audio data
from scipy.io import wavfile # Import the wavfile module for reading and writing WAV files
# Load a WAV file into memory
# Use the wavfile.read() function to read the WAV file and assign the data and sample rate to variables
(data, sr) = wavfile.read('input_sound.wav')
# Add noise to the sound using `audioop.dither()`
# Use the audioop.dither() function to add noise to the sound data and assign the result to a new variable
# The format parameter is set to None, which means the function will automatically determine the format of the data
noisy_data = audioop.dither(data, format=None)
# Save the noisy sound to a new WAV file
# Use the wavfile.write() function to write the noisy sound data to a new WAV file
# The sample rate and noisy data are passed as parameters
wavfile.write('output_sound.wav', sr, noisy_data)
And that’s it! You can now impress your friends with your Python-powered audio skills and make them wonder how you did it without breaking the bank on fancy sound equipment.