Music Performance Analysis: A Survey

June 29, 2019 ยท The Cartographer ยท ๐Ÿ› International Society for Music Information Retrieval Conference

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Music Performance Analysis: A Survey"

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Authors Alexander Lerch, Claire Arthur, Ashis Pati, Siddharth Gururani arXiv ID 1907.00178 Category cs.IR: Information Retrieval Cross-listed cs.MM Citations 34 Venue International Society for Music Information Retrieval Conference Last Checked 2 days ago
Abstract
Music Information Retrieval (MIR) tends to focus on the analysis of audio signals. Often, a single music recording is used as representative of a "song" even though different performances of the same song may reveal different properties. A performance is distinct in many ways from a (arguably more abstract) representation of a "song," "piece," or musical score. The characteristics of the (recorded) performance -- as opposed to the score or musical idea -- can have a major impact on how a listener perceives music. The analysis of music performance, however, has been traditionally only a peripheral topic for the MIR research community. This paper surveys the field of Music Performance Analysis (MPA) from various perspectives, discusses its significance to the field of MIR, and points out opportunities for future research in this field.
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