Calculating the envelope of sound
One of the ways you can improve the features available to your model is to remove some of the noise present in the data. In audio data, a common way to do this is to smooth the data and then rectify it so that the total amount of sound energy over time is more distinguishable. You'll do this in the current exercise.
A heartbeat file is available in the variable audio.
This exercise is part of the course
Machine Learning for Time Series Data in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Plot the raw data first
audio.____(figsize=(10, 5))
plt.show()