{"id":218221,"updated":"2025-01-19T15:13:39.217871+00:00","links":{},"created":"2025-01-19T01:18:37.929372+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00218221","sets":["1164:3616:10863:10936"]},"path":["10936"],"owner":"44499","recid":"218221","title":["レザバー計算による組込み指向型音声分類システム"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-06-02"},"_buckets":{"deposit":"bb7b262c-231f-4648-ae4b-dd0f251986af"},"_deposit":{"id":"218221","pid":{"type":"depid","value":"218221","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"レザバー計算による組込み指向型音声分類システム","author_link":["566995","566992","566993","566997","566996","566994","566999","566998"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"レザバー計算による組込み指向型音声分類システム"},{"subitem_title":"An embedded-oriented sound classification system using reservoir computing","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2022-06-02","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"九州工業大学ニューロモルフィックAIハードウェア研究センター"},{"subitem_text_value":"九州工業大学大学院生命体工学研究科"},{"subitem_text_value":"ソニーグループ株式会社R&Dセンター九州工業大学ニューロモルフィックAIハードウェア研究センター／九州工業大学大学院生命体工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology::Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"R&D Center, Sony Group Corporation","subitem_text_language":"en"},{"subitem_text_value":"Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology / Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology ","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/218221/files/IPSJ-AVM22117011.pdf","label":"IPSJ-AVM22117011.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-AVM22117011.pdf","filesize":[{"value":"983.1 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"27"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"6ff59348-d407-4437-a4ae-7b862b5ac948","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 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":"田中, 悠一朗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"内野, 壱星"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大栗, 一敦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田向, 権"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuichiro, Tanaka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Issei, Uchino","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kazunobu, Ohkuri","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hakaru, Tamukoh","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10438399","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":"2188-8582","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，音声分類の分野においてディープニューラルネットワーク（DNN）ベースの手法が画期的な成果を上げているが，DNN ベースの手法は膨大な演算量を必要とするため，計算リソースや電力に制約のある組込み機器で高速動作する音声分類システムの実現は難しい．本研究は組込み機器のための高速かつ低消費電力な音声分類ハードウェア実装を見越して，レザバー計算を用いた組込み指向型音声分類システムを提案する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Although deep neural networks (DNNs) have achieved state-of-the-art results in sound classification tasks in recent years, DNNs require high computational costs, and therefore implementing DNN-based sound classification systems for embedded systems is difficult. This study aims to realize high-speed and low-power sound classification hardware and proposes an embedded-oriented sound classification system using reservoir computing.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"研究報告オーディオビジュアル複合情報処理（AVM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-06-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11","bibliographicVolumeNumber":"2022-AVM-117"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}