Chapter 5 – Audio Classification

@inproceedings{Giannakopoulos2014Chapter5,
  title={Chapter 5 – Audio Classification},
  author={Theodoros Giannakopoulos and Aggelos Pikrakis},
  year={2014}
}
This chapter describes the task of classifying unknown audio segments of “homogeneous content” to a set of predefined audio classes. In particular, theoretical background is provided regarding popular classification methods, including Support Vector Machines, Decision Trees and the kk-Nearest-Neighbor method. The reader is also introduced to generic performance measures and validation methods for the estimation of the performance of a classifier. The chapter concludes with the presentation of… CONTINUE READING

Topics from this paper.