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.
Deze oefening maakt deel uit van de cursus
Machine Learning for Time Series Data in Python
Interactieve oefening met praktijkervaring
Probeer deze oefening door deze voorbeeldcode aan te vullen.
# Plot the raw data first
audio.____(figsize=(10, 5))
plt.show()