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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/12337

Title: Musical Structural Analysis Database Based on GTTM
Authors: Hamanaka, Masatoshi
Hirata, Keiji
Tojo, Satoshi
Keywords: music
Issue Date: 2014-10
Publisher: ISMIR 2014
Magazine name: Proceedings of the 15th Conference of the International Society for Music Information Retrieval (ISMIR 2014)
Start page: 325
End page: 330
Abstract: This paper, we present the publication of our analysis data and analyzing tool based on the generative theory of tonal music (GTTM). Musical databases such as score databases, instrument sound databases, and musical pieces with standard MIDI files and annotated data are key to advancements in the field of music information technology. We started implementing the GTTM on a computer in 2004 and ever since have collected and publicized test data by musicologists in a step-by-step manner. In our efforts to further advance the research on musical structure analysis, we are now publicizing 300 pieces of analysis data as well as the analyzer. Experiments showed that for 267 of 300 pieces the analysis results obtained by a new musicologist were almost the same as the original results in the GTTM database and that the other 33 pieces had different interpretations.
Rights: (c) Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo. Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo. “Musical Structural Analysis Database based on GTTM”, 15th International Society for Music Information Retrieval Conference, 2014.
URI: http://hdl.handle.net/10119/12337
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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