An Examination of Foote’s Self-Similarity Method

I have summarized various articles related to feature extractors used in the field of audio information retrieval/classification. I have also included two experiments with Foote’s method on real musical pieces. Even though the analyses of these experiments are still in progress, this study has helped me in understanding the structural process of Foote's method. It seems that each variable in the system such as frame rate, kernel size, etc., should be optimized for each case by conducting thorough empirical experiments on different kinds of musical signals. Moreover, processing with this system on a full piece of music (usually more than 1 minute long) requires a lot of computing time. Hence, one of the final aim of my study is to suggest ways of improving some of the limitations of this system.