Content-based identification of audio titles on the Internet

Abstract

The increasing usage of the Internet for the distribution of audio content and the increasing number of audio broadcasting stations require new supporting tools and methods for the observation of occurrence frequencies and of possible copyright infringements. The paper describes a general approach for the identification of audio titles and its application on Internet observation. The concept of an AudioDNA is developed, allowing a highly compressed representation of a sequence of acoustic events. Audio titles are identified by using a sequence matching method which determines similarities between observed and reference AudioDNA stored in a database. This method is implemented in a highly scaleable architecture allowing the identification of several audio titles in parallel. The first results with this system are very promising, only highly distorted audio titles are not identified correctly.