We present a framework for audio analysis and the extraction of low-level features, mid-level structures and high-level concepts, altogether studied as a fully interwoven complex system. Composite operations are constructed via an intuitive programming language on top of Matlab. Datasets of any size can be processed thanks to implicit memory management mechanisms. The data structure enables a tight articulation between signal and symbolic layers in a unified framework. The resulting technology can be used as a pedagogical tool for the understanding of audio, speech and musical processes and concepts, and for content-based discovery of digital libraries. Other applications includes intelligent browsing and structuring of digital library, information retrieval, and the design of content-based audio interfaces.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.