Analyses of musical signals of traditional folk entertainment using LMS-based Fourier analyzer and succession of traditions

2016 Fiscal Year Final Research Report

• Project/Area Number: 26350352
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Educational technology
• Research Institution: Hachinohe National College of Technology
• Principal Investigator: Kudoh Norimasa 八戸工業高等専門学校, その他部局等, 教授 (40270194)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 計測工学 / 自動採譜 / 情報システム / 教育工学

Outline of Final Research Achievements

There are two problems as musical signals are analyzed: (1) Each estimated amplitude is influenced from adjacent notes; (2) Each estimated amplitude is influenced from the same notes on the different octaves. An LMS-based Fourier Analyzer, which can accommodate time-varying signals and frequency vibrated signals, are investigated in order to cope with these problems. Its performance is fundamentally verified by transcription of Kagura musical signals. And then, the transformation system, from analyzed data of musical signals to the widely used MIDI (Musical Instrument Digital Interface) format , is developed. Transcription system has also function to detect mistakes of musical performance. We concluded that we could develop one of helpful tools for succeeding Kagura folk entertainment.

Free Research Field

計測工学