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- W1988442009 abstract "Every musician has a unique of playing music. This research focuses on the stylistic patterns found in solo jazz and blues performances of pianists. This paper identifies dynamic variance as a factor contributing to the unique style of a pianist. A program, NamePianist, was implemented to analyze music from MIDI files based on a metric created to capture a pianist's dynamic style. NamePianist was trained on the of five different pianists and then used to identify the performer of an unknown song. Two strategies of identification were tested. One identified the performer based on the known song that was closest to the new song. The second strategy created a composite for each performer and then used those composites to identify the performer. This paper presents the details of the metric created and the results of the tests conducted." @default.
- W1988442009 created "2016-06-24" @default.
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- W1988442009 date "2005-03-18" @default.
- W1988442009 modified "2023-09-26" @default.
- W1988442009 title "Pianist style" @default.
- W1988442009 cites W2024636109 @default.
- W1988442009 doi "https://doi.org/10.1145/1167350.1167375" @default.
- W1988442009 hasPublicationYear "2005" @default.
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