Engineering spectral features
As you can probably tell, there is a lot more information in a spectrogram compared to a raw audio file. By computing the spectral features, you have a much better idea of what's going on. As such, there are all kinds of spectral features that you can compute using the spectrogram as a base. In this exercise, you'll look at a few of these features.
The spectogram spec from the previous exercise is available in your workspace.
Questo esercizio fa parte del corso
Machine Learning for Time Series Data in Python
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
import librosa as lr
# Calculate the spectral centroid and bandwidth for the spectrogram
bandwidths = lr.feature.____(S=____)[0]
centroids = lr.feature.____(S=____)[0]