Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development

Chapter 10 Feature extraction methods for intelligent audio signal classification

Aaron Rasheed Rababaah

American University of Kuwait, Salmiya, Kuwait

DOI: 10.1201/9781003386599-12

Contents

1. 10.1 Introduction
2. 10.2 Theoretical background
3. 10.3 Deployment of the three methods
   • 10.3.1 Sound event detection
4. 10.4 Performance Measures Metrics (PMMs)
   • 10.4.1 Quantification of evaluation criteria
   • 10.4.2 PMMs criteria for evaluation and selection
   • 10.4.3 Manual microphones calibration process
5. 10.5 Conclusions
6. References

10.1 Introduction

In the era of Big Data, systems that are concerned with data mining, data processing, pattern recognition, real time processing, classification, etc., need to automate many, if not all, aspects of their operations. ...