Acoustical Science and Technology | |
Automatic arrangement for the bass guitar in popular music using principle component analysis | |
Yuki Murakami2  Yuzo Abe2  Masanobu Miura1  | |
[1] Faculty of Science and Technology, Ryukoku University;Graduate School of Science and Technology, Ryukoku University | |
关键词: Bass guitar; Automatic arrangement; Eigenphrase; PCA; MIDI; | |
DOI : 10.1250/ast.33.229 | |
学科分类:声学和超声波 | |
来源: Acoustical Society of Japan | |
【 摘 要 】
References(10)Cited-By(1)In popular music, the drums and bass guitar create the rhythm. In 2008, we developed a drum pattern database including thousands of music excerpts to investigate the role of drums. However, no studies have been reported on using a large number of samples to investigate the role of the bass guitar in popular music. Moreover, it has been difficult to generate appropriate phrases on automatic-arrangement systems. We propose a method that we have developed for identifying the bass part using Musical Instrument Digital Interface (MIDI) excerpts. In the method, each one-bar length is identified as either a bass guitar part or not, and if it is, it is appropriately named a ``bass guitar pattern.'' The basic information of the bass guitar pattern, such as onset, interval, and dynamics profiles, was extracted from it and a database comprising these profiles was constructed in order to extract common features among patterns. We use principal component analysis (PCA) to introduce several automatic-arrangement parameters, including those in the proposed database, and call these parameters ``eigenphrases of the bass guitar.'' We propose a method of arranging the bass guitar part to generate an appropriate pattern as a musical phrase by multiplying each of the principal component vectors from the eigenphrase of the bass guitar with relative weights. The method is confirmed to be effective as a means of generating bass guitar parts in a natural rather than an artificial way.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201912080715826ZK.pdf | 1500KB | download |