MUSART: Music Retrieval Via Aural Queries

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MUSART: Music Retrieval Via Aural Queries
MUSART is a research project developing and studying new techniques for music information retrieval. The MUSART architecture uses a variety of representations to support multiple search modes. Progress is reported on the use of Markov modeling, melodic contour, and phonetic streams for music retrieval. To enable large-scale databases and more advanced , musical abstraction is studied. The MME subsystem performs theme extraction, and two other analysis systems are described that discover structure in audio representations of music. Theme extraction and structure analysis promise to improve search quality and support better browsing and “audio thumbnailing.” Integration of these components within a single architecture will enable scientific comparison of different techniques and, ultimately, their use in combination for improved performance and functionality.
William P. Birmingham
Added 30 Jul 2010
Updated 30 Jul 2010
Type Conference
Year 2001
Authors William P. Birmingham
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