Introduction to Audio Analysis

4

Audio Features

Abstract

This chapter focuses on presenting a wide range of audio features. Apart from the theoretical background of these features and respective MATLAB code, their discrimination ability is also demonstrated for particular audio types.

Keywords

Short-Term feature extraction

Mid-Term windowing

Energy

Zero crossing rate

Entropy of energy

Spectral centroid

Spectral spread

Spectral entropy

Spectral flux

Spectral rolloff

Mel-Frequency cepstrum coefficients

MFCCs

Chroma vector

Harmonic ratio

Fundamental frequency

Feature extraction is an important audio analysis stage. In general, feature extraction is an essential processing step in pattern recognition and machine learning tasks. The goal is to extract a set of features from ...