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Conference Papers Year : 2010

A roadmap towards versatile MIR

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Abstract

Most MIR systems are specifically designed for one application and one cultural context and suffer from the semantic gap between the data and the application. Advances in the theory of Bayesian language and information processing enable the vision of a versatile, meaningful and accurate MIR system integrating all levels of information. We propose a roadmap to collectively achieve this vision.
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Dates and versions

inria-00544047 , version 1 (07-12-2010)

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  • HAL Id : inria-00544047 , version 1

Cite

Emmanuel Vincent, Stanislaw A. Raczynski, Nobutaka Ono, Shigeki Sagayama. A roadmap towards versatile MIR. 2010 Int. Society for Music Information Retrieval Conf. (ISMIR), Aug 2010, Utrecht, Netherlands. pp.662--664. ⟨inria-00544047⟩
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