About This Topic
Feature selection is the task of selecting features that best represent a given dataset. In media data (audio/video) features are usually high-dimensional representing some meaningful information as a group. Following, it is desired to keep the features as a whole rather than to tear it apart by single components. Various statistical and information theoretic approaches for grouped feature selection exist.
In this work state-of-the-art methods for grouped feature selection in the audio domain should be compared. Novel methods can be implemented and tested as desired. Platform: MATLAB