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AudioID: Towards Content-Based Identification of Audio Material

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Fuelled by the digital revolution, efficient data reduction schemes and the break-through of the Internet, an ever-increasing amount of audio material has become available in digital format recently. Efficient handling and possibility of identification for these items are becoming extremely important to manage such amounts of content. This paper describes a prototype system for a content-based identification system of audio material based on a database of registered works. The technical approach is outlined and the system's current performance and the range of possible applications are discussed.

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