{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00183456","sets":["6164:6165:7308:9246"]},"path":["9246"],"owner":"11","recid":"183456","title":["電子音の認識のためのJavaScriptライブラリの開発"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-09-09"},"_buckets":{"deposit":"b4ea5661-8957-4d8e-87f4-e327e02625b3"},"_deposit":{"id":"183456","pid":{"type":"depid","value":"183456","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"電子音の認識のためのJavaScriptライブラリの開発","author_link":["403806","402613","402615","403805","402614","402617","402616","402612"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"電子音の認識のためのJavaScriptライブラリの開発"},{"subitem_title":"Development on a JavaScript Library for Recognizing Machine-generated Sounds","subitem_title_language":"en"}]},"item_type_id":"18","publish_date":"2017-09-09","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"津田塾大学"},{"subitem_text_value":"日本大学"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tsuda College","subitem_text_language":"en"},{"subitem_text_value":"Nihon University","subitem_text_language":"en"}]},"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/183456/files/IPSJ-EC2017001.pdf","label":"IPSJ-EC2017001.pdf"},"date":[{"dateType":"Available","dateValue":"2017-09-09"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-EC2017001.pdf","filesize":[{"value":"6.2 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"40"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"ef108ea9-31b3-4bc0-92df-876667609392","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"栗原, 一貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"板谷, あかり"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"植村, あい子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"北原 , 鉄朗"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"KAZUTAKA, KURIHARA","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"AKARI, ITAYA","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"AIKO, UEMURA","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"TETSURO, KITAHARA","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では電子音に特化して、教師つき学習を行わずに音声認識を行うJavaScriptライブラリであるPicognizerを実装する。我々は今や様々な電子音に囲まれて生活しており、それらを認識し情報処理を行うことはMaker文化の発展、およびゲーミフィケーションの構成の上で有意義であるが、エンドユーザプログラマが個々の認識対象について教師つき学習により認識器を構築するのは現状ではまだ容易ではない。そこで再生毎の音響的変動が小さいという電子音の特徴を活かし、伝統的なパターンマッチングアルゴリズムにより音声認識を行うJavaScriptライブラリを実装する。様々なユースケースを例示することでその有用性を示す。","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Our daily life is now surrounded by various machine-generated sounds, so it is valuable to establish a way to detect andrecognize those synthesized sounds as a trigger to invoke information systems. However, it is still not easy to enable end-userprogrammers to create custom-built recognizers for each usage scenario through the supervised learning. Therefore, focusing ona feature of synthesized sounds whose auditory deviation is small for each replay, we implement a JavaScript library that detectsand recognizes sounds by the traditional pattern-matching algorithm. We quantitatively evaluate its performance, and show itseffectiveness by proposing various usage cases including an autoplay system, an augmentation of digital games, and agamification.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"10","bibliographic_titles":[{"bibliographic_title":"エンタテインメントコンピューティングシンポジウム2017論文集"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2017-09-09","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2017"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":183456,"updated":"2025-01-20T03:34:51.880951+00:00","links":{},"created":"2025-01-19T00:50:58.630282+00:00"}