{"updated":"2025-01-19T10:25:56.591153+00:00","links":{},"created":"2025-01-19T01:33:22.814961+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00232485","sets":["1164:5159:11541:11549"]},"path":["11549"],"owner":"44499","recid":"232485","title":["大規模モノラルダークデータを用いた音響イベント定位・検出の構築"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-02-22"},"_buckets":{"deposit":"0b19ac1e-322e-4b7c-a8c3-712e0f30ea8b"},"_deposit":{"id":"232485","pid":{"type":"depid","value":"232485","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"大規模モノラルダークデータを用いた音響イベント定位・検出の構築","author_link":["629357","629359","629358"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"大規模モノラルダークデータを用いた音響イベント定位・検出の構築"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"EA2","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-02-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"産業技術総合研究所"},{"subitem_text_value":"株式会社デンソー"},{"subitem_text_value":"株式会社デンソー"}]},"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/232485/files/IPSJ-SLP24151015.pdf","label":"IPSJ-SLP24151015.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLP24151015.pdf","filesize":[{"value":"870.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"22"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"3a0f6b3a-c0b2-4bff-a359-a6bc5c84956e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"坂東, 宜昭"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"廣橋, 義寛"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"新原, 竜馬"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10442647","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8663","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本稿では，インターネット上に膨大に存在する雑多なモノラル混合音 (ダークデータ) を活用した音響イベント定位・検出 (SELD) について述べる．SELD システムの構築では，学習データ不足を解消するため，検出したいイベントの音源信号と多チャネル背景雑音を用いたデータ合成が広く活用されている．しかし，現行のデータ合成法では，1) 音源収集のための音響タギングが困難，2) 雑音を含まない音源信号の入手が困難，3) 多チャネル背景雑音の収集が高コストという課題があった．本研究では，これらの課題を解決し，ダークデータを用いて高い汎化性能を持つ SELD システムを構築する．具体的には，1) 対照学習に基づく音響イベント埋め込みモデルの導入，2) 弱教師あり目的音源抽出法 NyTT を用いた疑似音源信号生成，3) モノラル時間周波数マスク推定に基づく音源定位により，モノラル混合音のみから SELD を構築する．提案法のアプリケーションとして，自動車に装着されたマイクロホンアレイを用いた緊急車両音の SELD に取り組み，AudioSet を用いた SELD システムの学習を通じて提案法の有効性を示す．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"研究報告音声言語情報処理（SLP）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-02-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"15","bibliographicVolumeNumber":"2024-SLP-151"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":232485}