Clean Audio for TV broadcast: An Object-Based Approach for Hearing-Impaired Viewers - April 2015
Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
Sound Board: Food for Thought, Aesthetics in Orchestra Recording - April 2015
Computing Structural Descriptions of Music through the Identification of Representative Excerpts from Audio Files
With the rapid growth of audio databases, many music retrieval applications have employed metadata descriptions to facilitate better handling of huge databases. Music structure creates the uniqueness identity for each music piece. Therefore, structural description is capable of providing a powerful way of interacting with audio content, and serves as a linkage between low-level description and higher-level descriptions of audio (e.g. audio summarization, audio fingerprinting, etc.). Identification of representative musical excerpts is the primary step towards the goal of generating structural descriptions of audio signals. In this paper, we will provide a systematic review of the existing work on extracting musical structure descriptors from music files and will present, discuss, and evaluate various approaches in identifying representative musical excerpts of music audio signals.
Click to purchase paper 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 $20 for non-members, $5 for AES members and is free for E-Library subscribers.