2013 Fiscal Year Final Research Report
Versatile music processing by combining statistical signal processing and music theory
| Project/Area Number |
23240021
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | National Institute of Informatics (2013)
The University of Tokyo (2011-2012) |
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Principal Investigator |
SAGAYAMA Shigeki 国立情報学研究所, 情報学プリンシプル研究系, 特任教授 (00303321)
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| Co-Investigator(Kenkyū-buntansha) |
ONO Nobutaka 国立情報学研究所, 情報学プリンシプル研究系, 准教授 (80334259)
NISHIMOTO Takuya 東京大学, 情報理工学系研究科, 助教 (80283696)
SAITO Daisuke 東京大学, 大学院・情報理工学系研究科, 助教 (40615150)
HORI Gen 亜細亜大学, 経営学部, 准教授 (60322658)
NAKAMURA Kazuyuki 明治大学, 総合数理学部, 准教授 (40462171)
KANEKO Hitomi 桐朋学園大学, 音楽学部, 准教授 (00408949)
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| Project Period (FY) |
2011-04-01 – 2014-03-31
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| Keywords | 音楽信号処理 / 音楽情報処理 / 楽音分離 / 自動作曲 / 自動伴奏 / ジャンル認識 / リズム解析 / 自動編曲 |
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| Research Abstract |
We investigated signal and information processing of music, acoustic and speech by integrating statistical signal processing and mathematical models of music theory. Just as integration of acoustic and linguistic processing was the key technology in speech recognition, integrating signal processing and music theory is essential in music processing. More precisely, we developed A: analysis, conversion, separation and detection of music signals based on mathematical models and statistical learning, B: chord recognition, rhythm analysis, segmentation, structural analysis, genre recognition based on mathematical formulation of music theory, and C: automatic music rendering, automatic music composition, automatic music accompaniment and automatic music arrangement based on machine learning and mathematical optimization.
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