{"created":"2023-07-27T06:26:09.355814+00:00","id":9756,"links":{},"metadata":{"_buckets":{"deposit":"a81565ca-3b69-457e-b22d-1a75d3a070ec"},"_deposit":{"created_by":3,"id":"9756","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"9756"},"status":"published"},"_oai":{"id":"oai:kanazawa-u.repo.nii.ac.jp:00009756","sets":["934:935:936"]},"author_link":["14243","353","377"],"item_8_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2007-11-01","bibliographicIssueDateType":"Issued"},"bibliographicPageStart":"B4-2","bibliographic_titles":[{"bibliographic_title":"第22回信号処理シンポジュウム（仙台）"}]}]},"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 イク方式のノイズキャンセラにおける，急激な雑音スペクトルの変化に追従できる雑音スペクトル推定について検討する．無音区間と有音区間を各フレームのスペクトルエントロピーを用いて検出するVoice Activity Detector によって検出し，無音区間ではパラメータを適宜制御したリーク積分による雑音スペクトル推定，音声区間では雑音抑圧精度が高い重み付き雑音推定により雑音スペクトルを推定している．この方法により，従来法に比べて雑音スペクトルの急変化にも追従することができ，また正規化推定誤差とSNR も従来法より向上した． A noise spectral estimator in a spectral suppression method is proposed. Especially, a rapid adaptation for noise spectral change is taken into account. In order to estimate the noise spectrum quickly and accurately, a detection method for a speech-absent frame and a speech-present frame by using a voice activity detector (VAD) is improved. Furthermore, an improved noise spectral estimation method for the speech-absent frame is proposed. The conventional method is applied to the speech-present frame. The proposed method can estimate the noise spectrum more precisely than the conventional methods. The segmental SNR is improved by 2.0～3.8 dB and the normalized estimated error is improved by about 3.2～4.7 dB for white noise and babble noise, which are combined.","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22回信号処理シンポジュウム"}]},"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/~sip/symp/2007/","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":"東, 尚哉"},{"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-B42.pdf","filesize":[{"value":"295.8 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"TE-PR-NAKAYAMA-K-B42.pdf","url":"https://kanazawa-u.repo.nii.ac.jp/record/9756/files/TE-PR-NAKAYAMA-K-B42.pdf"},"version_id":"010ae22b-dc45-4d36-bde9-df5f725c9836"}]},"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雑音スペクトル推定法の検討 : 急激な時間的変化への対応","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雑音スペクトル推定法の検討 : 急激な時間的変化への対応"},{"subitem_title":"On Rapid Adaptation of Noise Spectral Estimation in Spectral Suppression Method","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":"9756","relation_version_is_last":true,"title":["スペクトルサプレッション法における雑音スペクトル推定法の検討 : 急激な時間的変化への対応"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-07-28T01:49:52.417248+00:00"}