Processing audio data with Python
You've seen how a sound waves can be turned into numbers but what does all that conversion look like?
And how about another similar sound wave? One slightly different?
In this exercise, we're going to use MatPlotLib to plot the sound wave of good_morning
against good_afternoon
.
To have the good_morning
and good_afternoon
sound waves on the same plot and distinguishable from each other, we'll use MatPlotLib's alpha
parameter.
You can listen to the good_morning
audio here and good_afternoon
audio here.
This exercise is part of the course
Spoken Language Processing in Python
Exercise instructions
- Set the title to reflect the plot we are making.
- Add the
good_afternoon
time variable (time_ga
) and amplitude variable (soundwave_ga
) to the plot. - Do the same with the
good_morning
time variable (time_gm
) and amplitude variable (soundwave_gm
) to the plot. - Set the alpha variable to
0.5
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Setup the title and axis titles
plt.title('Good Afternoon vs. Good ____')
plt.ylabel('Amplitude')
plt.xlabel('Time (seconds)')
# Add the Good Afternoon data to the plot
plt.plot(____, ____, label='Good Afternoon')
# Add the Good Morning data to the plot
plt.plot(____, ____, label='Good Morning',
# Set the alpha variable to 0.5
alpha=____)
plt.legend()
plt.show()