{"_buckets": {"deposit": "43f06d1b-4b73-453c-81e0-b0efec4e7e03"}, "_deposit": {"id": "10900", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "10900"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00010900"}, "item_10_alternative_title_19": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u8a00\u8a9e\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "Similar Music Retrieval Using Polyphonic Binary Feature Vectors and Its Acceleration"}]}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2003-11-01", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "11", "bibliographicPageEnd": "1667", "bibliographicPageStart": "1657", "bibliographicVolumeNumber": "J86-D-II", "bibliographic_titles": [{"bibliographic_title": "\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8c"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "\u672c\u8ad6\u6587\u3067\u306f\uff0c\u591a\u91cd\u594f\u97f3\u97ff\u4fe1\u53f7\u3092\u30af\u30a8\u30ea\u30fc\u3068\u3057\u3066\u591a\u91cd\u594f\u97f3\u97ff\u4fe1\u53f7\u304b\u3089\u985e\u4f3c\u3059\u308b\u97f3\u697d\u3092\u63a2\u7d22\u3059\u308b\u985e\u4f3c\u97f3\u697d\u63a2\u7d22\u6cd5\u3068\u305d\u306e\u9ad8\u901f\u5316\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b\uff0e\u672c\u985e\u4f3c\u97f3\u697d\u63a2\u7d22\u306b\u304a\u3044\u3066\u306f\u591a\u91cd\u594f\u97f3\u97ff\u306e\u985e\u4f3c\u6027\u306b\u57fa\u3065\u3044\u305f\u63a2\u7d22\u3092\u9ad8\u901f\u306b\u884c\u3046\u5fc5\u8981\u304c\u3042\u308b\uff0e\u305d\u3053\u3067\uff0c\u307e\u305a\uff0c\u591a\u91cd\u594f\u306b\u304a\u3044\u3066\u540c\u6642\u306b\u767a\u751f\u3059\u308b\u8907\u6570\u306e\u97f3\u306e\u6709\u7121\u306b\u7740\u76ee\u3057\u305f2\u5024\u591a\u91cd\u97f3\u97ff\u7279\u5fb4\u30d9\u30af\u30c8\u30eb\u3092\u63d0\u6848\u3059\u308b\uff0e\u672c\u7279\u5fb4\u306f\u591a\u91cd\u594f\u97f3\u97ff\u4fe1\u53f7\u306e\u985e\u4f3c\u6027\u306b\u57fa\u3065\u3044\u305f\u9ad8\u901f\u63a2\u7d22\u306b\u9069\u3057\u3066\u3044\u308b\uff0e\u305d\u3057\u3066\u66f4\u306b\uff0c\u672c\u7279\u5fb4\u3092\u7528\u3044\u305f\u63a2\u7d22\u306b\u304a\u3051\u308b\u9ad8\u901f\u5316\u624b\u6cd5\u3092\u5c0e\u5165\u3059\u308b\uff0e\u672c\u624b\u6cd5\u306f\u985e\u4f3c\u5ea6\u884c\u5217\u306e\u30b9\u30d1\u30fc\u30b9\u5316\u306b\u3088\u308a\u63a2\u7d22\u7a7a\u9593\u3092\u5236\u9650\u3057\uff0c\u3088\u308a\u9ad8\u901f\u306a\u63a2\u7d22\u3092\u884c\u3046\uff0e216\u66f2\u306e\u5b9f\u9a13\u7528\u97f3\u697d\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u63a2\u7d22\u5b9f\u9a13\u3067\u306f\uff0c\u4f8b\u3048\u3070\uff0c\u697d\u66f2\u5358\u4f4d\u306e\u63a2\u7d22\u306b\u304a\u3044\u3066\uff0c\u30af\u30a8\u30ea\u30fc\u306e\u9577\u3055\u304c\u5e73\u574719\u79d2\u306e\u3068\u304d\uff0c\u30b9\u30da\u30af\u30c8\u30eb\u7279\u5fb4\u3092\u7528\u3044\u305f\u5834\u5408\u306b62.5\uff05\u3067\u3042\u3063\u305f\u7cbe\u5ea6\u304c\uff0c\u63d0\u6848\u306e2\u5024\u591a\u91cd\u97f3\u97ff\u7279\u5fb4\u30d9\u30af\u30c8\u30eb\u3092\u7528\u3044\u308b\u3053\u3068\u306b\u3088\u308a89.3\uff05\u306b\u307e\u3067\u5411\u4e0a\u3057\u305f\uff0e\u307e\u305f\uff0c\u672c\u9ad8\u901f\u5316\u624b\u6cd5\u306b\u304a\u3044\u3066\u306f\uff0c\u7cbe\u5ea6\u3092\u307b\u3068\u3093\u3069\u640d\u306a\u308f\u305a\u306b\uff0cDP\u7167\u5408\u3092\u7528\u3044\u305f\u305a\u3089\u3057\u7167\u5408\u6cd5\u306b\u6bd4\u3079\u7d041.6\u500d\u304b\u308918\u500d\u306e\u9ad8\u901f\u5316\u3092\u9054\u6210\u3057\u305f\uff0eWe propose a method for retrieving similar music from a polyphonic-music audio database using a polyphonic audio signal a a query. In this task, we must consider similarities among polyphonic signals of the music, and achieve quick retrieval. Therefore, we first introduce a polyphonic binary feature vector to represent the presence of multiple notes. This feature is suitable for search based on the similarities among polyphonic audio signals. Then, we present a new search method, which is quicker than the exhaustive use of DP matching. The search is accelerated using a \"similarity matrix to limit the search space. Experiments using a test database containing 216 music pieces show that the search accuracy using the proposed feature is higher than that using the conventional spectrum feature. For example, when the average length of the queries is 19 s, the accuracy is 89.3% for the proposed feature, whereas it is 62.5% for the conventional spectrum feature. It is also shown that the new search method retrieves similar music 1.6 to 18 times faster than the exhaustive use of DP matching without accuracy degradation.", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/12746"}, {"subitem_identifier_type": "URI", "subitem_identifier_uri": "http://www.ieice.org/jpn/trans_online/index.html"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a"}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "Copyright 2003 IEICE"}, {"subitem_rights": "\u82f1\u6587abstract\u306e\u30c7\u30fc\u30bf\u306f\u5b66\u5354\u4f1a\u306e\u8a31\u8afe\u306b\u57fa\u3065\u304dCiNii\u304b\u3089\u8907\u88fd\u3057\u305f\u3082\u306e\u3067\u3042\u308b"}]}, 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{"creatorNames": [{"creatorName": "NAGANO, Hidehisa"}], "nameIdentifiers": [{"nameIdentifier": "32839", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "KASHINO, Kunio"}], "nameIdentifiers": [{"nameIdentifier": "32840", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MURASE, Hiroshi"}], "nameIdentifiers": [{"nameIdentifier": "32841", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-20"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "110003223221.pdf", "filesize": [{"value": "245.2 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 245200.0, "url": {"label": "110003223221.pdf \u82f1\u6587abstract (IEICE 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