February 2014
Beginner to intermediate
288 pages
7h 19m
English
Content preview from Introduction to Audio Analysis
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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 ...
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