Extracting properties from audio data

In this section, we will learn how to extract the properties from audio data. Librosa provides many tools for extracting features from audio. These features are useful for audio data classification and labeling. For example, the MFCCs feature is used to classify cough audio data and predict whether a cough indicates tuberculosis.

Tempo

The term tempo in the context of audio and music refers to the speed or pace of a piece of music. It’s a fundamental characteristic of music, and it’s often measured in beats per minute (BPM).

In the context of audio data analysis with Librosa, when we estimate tempo, we are using mathematical techniques to figure out how fast or slow a piece of music is without having to listen and count the beats ourselves. For example, to extract the tempo of the audio, you can use the following code:

import librosa
import librosa.display
import matplotlib.pyplot as plt
# Load an audio file
audio_file...