{"updated":"2025-01-22T05:13:59.041613+00:00","links":{},"id":55911,"created":"2025-01-18T23:19:27.041361+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00055911","sets":["1164:5064:5083:5086"]},"path":["5086"],"owner":"1","recid":"55911","title":["HMMとMFCCを用いた楽器音の音源同定の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2005-08-05"},"_buckets":{"deposit":"b07853c2-ecb0-4779-8110-27b7c0004d6d"},"_deposit":{"id":"55911","pid":{"type":"depid","value":"55911","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"HMMとMFCCを用いた楽器音の音源同定の検討","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"HMMとMFCCを用いた楽器音の音源同定の検討"},{"subitem_title":"Musical instrument identification using HMM and MFCC","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2005-08-05","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"筑波大学"},{"subitem_text_value":"筑波大学"},{"subitem_text_value":"筑波大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"University of Tsukuba","subitem_text_language":"en"},{"subitem_text_value":" University of Tsukuba","subitem_text_language":"en"},{"subitem_text_value":" University of Tsukuba","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/55911/files/IPSJ-MUS05061013.pdf"},"date":[{"dateType":"Available","dateValue":"2007-08-05"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MUS05061013.pdf","filesize":[{"value":"98.9 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"21"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"130eaedd-f581-445a-87be-e2db36fc081d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2005 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"馬場, 貴之"},{"creatorName":"山田, 武志"},{"creatorName":"北脇, 信彦"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takayuki, Baba","creatorNameLang":"en"},{"creatorName":"TakeshiYamada","creatorNameLang":"en"},{"creatorName":"NobuhikoKitawaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10438388","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"自動採譜や音楽検索において，楽器音の音源同定は重要な要素技術である．本稿では，単一楽器の孤立発音を対象とした，HMM とMFCC を用いた楽器音の音源同定について述べる．まず，適切なHMM のパラメータを決定するために，RWC の楽器音データベースを用いて同定実験を行った．その結果，HMM の状態数と混合分布数が各々9，12 のときに88.65%の同定率が得られることが分かった．次に，学習データの量が同定率に及ぼす影響を調査し，学習データの量と同定率の関係を明らかにした．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Musical instrument identification is one of key technologies for automatic music transcription and music information retrieval. In this paper, we describe musical instrument identification using HMM and MFCC for monophonic sound. First, we conduct an experiment on identification using HMM and MFCC to investigate the proper parameter of HMM. From the result, we obtained the identification rate of 88.65% when a number of states and Gaussian mixtures are 9 and 12, respectively. Second, we examined the effect of an amount of training data on the identification rate and showed the relationship by performing an experiment.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"84","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告音楽情報科学（MUS）"}],"bibliographicPageStart":"79","bibliographicIssueDates":{"bibliographicIssueDate":"2005-08-05","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"82(2005-MUS-061)","bibliographicVolumeNumber":"2005"}]},"relation_version_is_last":true,"weko_creator_id":"1"}}