{"created":"2023-07-27T06:25:02.630778+00:00","id":8180,"links":{},"metadata":{"_buckets":{"deposit":"36d8f34e-b621-4bb2-81b3-7b922abdab19"},"_deposit":{"created_by":3,"id":"8180","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"8180"},"status":"published"},"_oai":{"id":"oai:kanazawa-u.repo.nii.ac.jp:00008180","sets":["934:935:936"]},"author_link":["353","377","11330"],"item_8_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2006-11-01","bibliographicIssueDateType":"Issued"},"bibliographicPageStart":"C3-2","bibliographic_titles":[{"bibliographic_title":"第21回信号処理シンポジウム（京都）"}]}]},"item_8_description_21":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"本稿ではスペクトルサプレッション法を用いた単一マ イクノイズキャンセラにおける雑音スペクトル推定の改 善について検討する．音声が存在する区間でも雑音推定 が可能である重み付き雑音推定において推定された雑 音スペクトルと実際の雑音スペクトルとでは誤差が生 じる．特に，無音区間で誤差が大きい場合，雑音が大き く残ってしまう．そこで，周波数領域において入力信号 における各フレームのエントロピーの値を用いて，無音 区間をより正確に検出することで雑音スペクトル推定， SNR推定，及びスペクトルゲインの補正を行う方法を 提案する．この方法により，背景雑音が定常な雑音であ る白色雑音，非定常な雑音であるバブル雑音の両方の場 合において，従来の方法よりもSNRが向上した．","subitem_description_type":"Abstract"}]},"item_8_description_5":{"attribute_name":"提供者所属","attribute_value_mlt":[{"subitem_description":"金沢大学理工研究域　電子情報学系","subitem_description_type":"Other"}]},"item_8_publisher_17":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEICE 電子情報通信学会 / 信号処理研究専門委員会 / 第21回 信号処理シンポジウム"}]},"item_8_relation_28":{"attribute_name":"関連URI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://www.ieice.org/jpn/index.html","subitem_relation_type_select":"URI"}}]},"item_8_version_type_25":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"鈴木, 大和"},{"creatorName":"ナカヤマ, ケンジ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中山, 謙二"}],"nameIdentifiers":[{},{},{}]},{"creatorNames":[{"creatorName":"平野, 晃宏"}],"nameIdentifiers":[{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-10-03"}],"displaytype":"detail","filename":"TE-PR-NAKAYAMA-K-32.pdf","filesize":[{"value":"224.5 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"TE-PR-NAKAYAMA-K-32.pdf","url":"https://kanazawa-u.repo.nii.ac.jp/record/8180/files/TE-PR-NAKAYAMA-K-32.pdf"},"version_id":"f5f028ce-3f3d-44c5-bd69-3e239a848030"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"スペクトルサプレッション法における無音区間の検出と雑音スペクトル推定の改善","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"スペクトルサプレッション法における無音区間の検出と雑音スペクトル推定の改善"},{"subitem_title":"Improvement of Spectrum Suppression Noise Cancelers Based on Detection of Non-Speech Section and Noise Specturum Estimation","subitem_title_language":"en"}]},"item_type_id":"8","owner":"3","path":["936"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-10-03"},"publish_date":"2017-10-03","publish_status":"0","recid":"8180","relation_version_is_last":true,"title":["スペクトルサプレッション法における無音区間の検出と雑音スペクトル推定の改善"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-07-28T02:13:01.488324+00:00"}