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The enormous growth of digital music databases has led to a comparable growth in the need for methods that help users organize and access such information. One area in particular that has seen much recent research activity is the use of automated techniques to describe audio content and to allow its identification, browsing and retrieval. This paper presents algorithms for audio content analysis,...
Traditional media, such as text, image, audio and video, have long been the main media resources and granted full support of standard desktop tools and applications. Interactive rich multimedia documents, adding resources such as video or synthetic animations and relying on complex synchronization among objects, are now making their entrance into the world as new multimedia formats emerge. In this...
This paper reviews the state-of-the-art in automatic genre classification of music collections through three main paradigms: expert systems, unsupervised classification, and supervised classification. The paper discusses the importance of music genres with their definitions and hierarchies. It also presents techniques to extract meaningful information from audio data to characterize musical excerpts...
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