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        <identifier>oai:ipsj.ixsq.nii.ac.jp:00019401</identifier>
        <datestamp>2025-01-22T22:13:42Z</datestamp>
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        <jpcoar:jpcoar xmlns:datacite="https://schema.datacite.org/meta/kernel-4/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcndl="http://ndl.go.jp/dcndl/terms/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:jpcoar="https://github.com/JPCOAR/schema/blob/master/1.0/" xmlns:oaire="http://namespace.openaire.eu/schema/oaire/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rioxxterms="http://www.rioxx.net/schema/v2.0/rioxxterms/" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns="https://github.com/JPCOAR/schema/blob/master/1.0/" xsi:schemaLocation="https://github.com/JPCOAR/schema/blob/master/1.0/jpcoar_scm.xsd">
          <dc:title>特徴空間とメロディ空間を用いた楽曲の類似検索方法</dc:title>
          <dc:title xml:lang="en">Music Data Similarity Searching Method with both Filtering in Feature Space and Filtering in Melody Space</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>福村, 純也</jpcoar:creatorName>
            <jpcoar:creatorName>川越, 恭二</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Junya, Fukumura</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Kyoji, Kawagoe</jpcoar:creatorName>
          </jpcoar:creator>
          <datacite:description descriptionType="Other">ネットワークの高速・広帯域化に伴い，WWW(World Wide Web)上での音楽データの配信が非常に盛んになってきている．ユーザはネットワーク上で用途に応じた検索システムを利用することにより，必要なデータを効率的に利用することができる．しかし，音楽データに関しては，様々な状況や心理状態において，その状態に応じて必要な音楽が異なるため 従来の検索システムでは十分ではない．そこで，類似した曲調やメロディの音楽データを検索する音楽データの類似検索システムが重要である．本稿では音楽データに対して感性特徴を付加した特徴空間と，メロディを時系列データとして構成したメロディ空間の２つの空間を使用する類似検索方法を提案する．この方法により，適切な類似した音楽データを検索することが可能となる．</datacite:description>
          <datacite:description descriptionType="Other">With rapid progress and expansion of high speed networks, much music data in World Wide Web (WWW) servers has been distributed. Users can select appropriate information using existing WWW searching systems among various and huge amount of WWW contents, in general. However, music data is difficult to select for the reason why users need to listen to different music depending on their situations as well as mental conditions. Therefore it is necessary to provide them with new type of similarity searching system with some considerations of music characteristics and melodies. In this paper, music data similarity searching method is proposed, which is based on both filtering in feature space and filtering in melody space. It is shown that with the proposed method effective search result can be obtained.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2003-01-23</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/19401</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AN10112482</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>情報処理学会研究報告データベースシステム（DBS）</jpcoar:sourceTitle>
          <jpcoar:volume>2003</jpcoar:volume>
          <jpcoar:issue>5(2002-DBS-129)</jpcoar:issue>
          <jpcoar:pageStart>17</jpcoar:pageStart>
          <jpcoar:pageEnd>24</jpcoar:pageEnd>
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            <jpcoar:extent>1.7 MB</jpcoar:extent>
            <datacite:date dateType="Available">2005-01-23</datacite:date>
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