Metadata for Audio 25th International AES Conference 17th to 19th June 2004 London UK
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Metadata for Audio

Paper CD4-3

Computing Structural Descriptions of Music through the Identification of Representative Excerpts from Audio Files

Bee Suan Ong, Perfecto Herrera
Universitat Pompeu Fabra, Barcelona, Spain

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 musical piece. Therefore, structural description is capable of providing a powerful way of interacting with audio content and serves as a link 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 toward the goal of generating structural descriptions of audio signals. In this paper we discuss various approaches in identifying representative musical excerpts of music audio signals and propose to classify them into a few categories. Pros and cons of each approach will also be discussed.

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