{"created":"2023-07-27T06:26:18.261215+00:00","id":9964,"links":{},"metadata":{"_buckets":{"deposit":"efbfd8ee-3daa-47be-80ce-d83f1c8171c2"},"_deposit":{"created_by":3,"id":"9964","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"9964"},"status":"published"},"_oai":{"id":"oai:kanazawa-u.repo.nii.ac.jp:00009964","sets":["934:935:936"]},"author_link":["14655","353","377"],"item_8_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2008-11-01","bibliographicIssueDateType":"Issued"},"bibliographicPageStart":"P-16","bibliographic_titles":[{"bibliographic_title":"第23回信号処理シンポジュウム（金沢)"}]}]},"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いて，雑音の種類や大き さが急激に変化したときにその変化に追従できる雑音スペ クトル推定を提案する．提案法では，まずVoice Activity Detector（以下，VAD とする）において2 つの閾値を設 け，各フレームのスペクトルエントロピーを比較するこ とで，無音区間・準音声区間・音声区間に分類する．そ の後それぞれの区間において，適切な雑音スペクトル推 定法を用いて雑音スペクトルを推定する．シミュレーショ ンでは，NOISEX-92 から入手したWhite, Babble, Car, Pink, Factory, Tank Noise の計6 種類の雑音を使用し， 雑音のレベルも時間的に変動させている．提案法を用い ることで雑音の急変化にも対応でき，また従来法よりも 正規化推定誤差とSNR が向上している． A noise spectral estimation method, which is used in spectral suppression noise cancellers, is oposed for highly nonstationary noise environments. Speech, quasi-speech and non-speech frames are detected by using the entropy-based voice activity detector (VAD). An adaptive normalization parameter and a variable two thresh- olds are newly introduced for the VAD. They are very useful for rapid change in the noise spectrum and power. Furthermore, an adaptive method is applied to estimating the noise spectrum in each frame. Simulations are carried out by using many kinds of noises, including white, babble, car, pink, factory and tank, which are changed from one to the other. The segmental SNR is improved by 2.9～5dB, and noise spectral estimation error is improved by 9.8～11dB for the babble noise and the other noise, which are changed from one to the other.","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23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/~sip/symp/2008/","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-P16.pdf","filesize":[{"value":"315.7 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"TE-PR-NAKAYAMA-K-P16.pdf","url":"https://kanazawa-u.repo.nii.ac.jp/record/9964/files/TE-PR-NAKAYAMA-K-P16.pdf"},"version_id":"9d80b4c4-2708-4f66-8912-7466cd5de9a6"}]},"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":"非定常雑音環境下におけるVADを用いた高速雑音推定法","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"非定常雑音環境下におけるVADを用いた高速雑音推定法"},{"subitem_title":"A Noise Spectral Estimation Method Based on VAD with Rapid Adaptation for Non-stationary Noise Environments","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":"9964","relation_version_is_last":true,"title":["非定常雑音環境下におけるVADを用いた高速雑音推定法"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-07-28T01:45:57.802759+00:00"}