How to classify audio files based on their ZCR, energy, and enthropy of energy features?

1. What is zero crossing rate in audio?
2. Why is audio classification important?
3. What is Chroma in machine learning?

What is zero crossing rate in audio?

4.3.

The Zero-Crossing Rate (ZCR) of an audio frame is the rate of sign-changes of the signal during the frame. In other words, it is the number of times the signal changes value, from positive to negative and vice versa, divided by the length of the frame.

Why is audio classification important?

This is used in security systems to detect sounds like breaking glass. It is also used for predictive maintenance by detecting sound discrepancies in factory machinery. It is even used to differentiate animal calls for wildlife observation and preservation.

What is Chroma in machine learning?

Chroma-based features, which are also referred to as “pitch class profiles”, are a powerful tool for analyzing music whose pitches can be meaningfully categorized (often into twelve categories) and whose tuning approximates to the equal-tempered scale.