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        <identifier>oai:ipsj.ixsq.nii.ac.jp:00194435</identifier>
        <datestamp>2025-01-19T23:29:09Z</datestamp>
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          <dc:title>情報理論的考察に基づくオーケストラ曲のピアノ自動編曲の試み</dc:title>
          <dc:title xml:lang="en">An Information-Theoretic Approach to Automatic Piano Arrangement of Orchestral Music</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>李, 由</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>保利, 武志</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>Christoph, M. Wilk</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>嵯峨山, 茂樹</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">You, Li</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Takeshi, Hori</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Christoph, M. Wilk</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Shigeki, Sagayama</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:subject subjectScheme="Other">生成，編曲，サウンドデザイン</jpcoar:subject>
          <datacite:description descriptionType="Other">本稿では，ピアノ編曲作業を，原曲の情報をできるだけ多く残し，かつ演奏可能なピアノ譜を出力する情報伝送路であると捉え，情報理論の応用を試みる．従来研究で多く使用されているルールベースを用いるアプローチに対し，我々は，ルールの設定やパラメータの調整などの複雑な手作業をできるだけ避けるように，より単純な原理に基づくオーケストラ楽曲の自動ピアノ編曲方法を検討する．このために，情報理論に基づきオーケストラ曲の各音符の局所のエントロピーを計算する方法と，それを用いた自動編曲手法を議論する．提唱した自動編曲の原理に基づく編曲結果を，ベートーヴェンの交響曲を例として示す．</datacite:description>
          <datacite:description descriptionType="Other">In this paper, we consider the process of piano arrangement as a communication channel which outputs playable piano scores while retaining as much information of the original piece as possible by applying principles of information theory. While previous systems for automatic piano arrangement often rely on heuristic rules, we aim to reduce this process to the application of a single fundamental principle. By doing so we avoid complicated manual work such as defining detailed rules and adjusting parameters. Thus, we propose a method which calculates the local entropy of each note in an orchestral piece based on information theory, and uses this information to arrange the orchestral score for piano. As exemplary results of the proposed automatic arrangement principle, we present piano arrangements of Beethoven's symphonies.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2019-02-15</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_18gh">technical report</dc:type>
          <jpcoar:identifier identifierType="URI">https://ipsj.ixsq.nii.ac.jp/records/194435</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="ISSN">2188-8914</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AA12049625</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>研究報告エンタテインメントコンピューティング（EC）</jpcoar:sourceTitle>
          <jpcoar:volume>2019-EC-51</jpcoar:volume>
          <jpcoar:issue>3</jpcoar:issue>
          <jpcoar:pageStart>1</jpcoar:pageStart>
          <jpcoar:pageEnd>6</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2021-02-15</datacite:date>
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