スラー境界情報に基づくフレーズ頂点の推定  [in Japanese] An Approach to Estimating Phrase Apices based on Slur Boundaries  [in Japanese]

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Abstract

与えられた楽譜からフレーズ頂点を推定(or 付与)する手法のひとつに保科理論がある.頂点選択や演奏表現のための条件がよく整理されており,理解しやすい.ただし,保科理論では,グループ境界に関しては人間の直感的な思考を前提にしており,直接,計算機処理に用いることはできなかった.本稿では,保科理論をもとに,スラーの始点と終点に関する制約を利用し,頂点推定の根拠からのvotingによって各グループの頂点を推定するモデルを提案する.ベートーベンのピアノソナタ「悲愴」第2楽章では,概ね正しい頂点を導き,他曲における推定でも約80%を超える正答率を得た.This paper describes a computational model which estimates notes corresponding to the apex in a phrase, based on Hoshina's theory, which deals with the way to express phrases with giving an apex. The theory illustrate concrete examples of the apices and numerates principles for selecting apices. However, it requires further formalization in order to use the theory on computer systems. We propose a computational model of estimating apices based on voting by the evidences which support the note to be the apex, using slur boundaries. On the piano sonata of Beethoven's "The Pathetic", the second movement, almost right apices were estimated. The algorithm is able to estimate apices with over 80% accuracy.

This paper describes a computational model which estimates notes corresponding to the apex in a phrase, based on Hoshina's theory, which deals with the way to express phrases with giving an apex. The theory illustrate concrete examples of the apices and numerates principles for selecting ap.ices. However, it requires further formalization in order to use the theory on computer systems. We propose a computational model of estimating apices based on voting by the evidences which support the note to be the apex, using slur boundaries. On the piano sonata of Beethoven's "The Pathetic" , the second movement, almost right,apices were estimated. The algorithm is able to estimate apices with over 80% accuracy.

Journal

  • 情報処理学会研究報告ヒューマンコンピュータインタラクション(HCI)  

    情報処理学会研究報告ヒューマンコンピュータインタラクション(HCI) 2003(111(2003-HI-106)), 103-109, 2003-11-07 

    Information Processing Society of Japan (IPSJ)

References:  5

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Codes

  • NII Article ID (NAID)
    110002911773
  • NII NACSIS-CAT ID (NCID)
    AA1221543X
  • Text Lang
    JPN
  • Article Type
    Technical Report
  • ISSN
    09196072
  • NDL Article ID
    6792514
  • NDL Source Classification
    ZM13(科学技術--科学技術一般--データ処理・計算機)
  • NDL Call No.
    Z14-1121
  • Data Source
    CJP  NDL  IPSJ 
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