{"links":{},"id":180883,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00180883","sets":["6504:9168:9182"]},"path":["9182"],"owner":"6748","recid":"180883","title":["Iterative Outlier Removal Method Using In-Cluster Variance Changes in Multi-Microphone Array Sound Source Localization."],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-03-16"},"_buckets":{"deposit":"5e51b91d-9397-4de6-ad07-fbeaf16fed07"},"_deposit":{"id":"180883","pid":{"type":"depid","value":"180883","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"Iterative Outlier Removal Method Using In-Cluster Variance Changes in Multi-Microphone Array Sound Source Localization.","author_link":["391173","391176","391175","391174"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Iterative Outlier Removal Method Using In-Cluster Variance Changes in Multi-Microphone Array Sound Source Localization."}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2017-03-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東工大"},{"subitem_text_value":"東工大"},{"subitem_text_value":"東工大"},{"subitem_text_value":"東工大/ホンダRIJ"}]},"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/180883/files/IPSJ-Z79-6M-06.pdf","label":"IPSJ-Z79-6M-06.pdf"},"date":[{"dateType":"Available","dateValue":"2017-05-22"}],"format":"application/pdf","filename":"IPSJ-Z79-6M-06.pdf","filesize":[{"value":"133.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"02fb1d1b-694d-4706-95e0-9c38eb7b0608","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Daniel, Gabriel"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小島, 諒介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"干場, 功太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中臺, 一博"}],"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_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"In recent studies sound based localization plays a great role in fields such as Robot Audition and Spatial Bird Song Localization. It is difficult to distinguish between a valid sound source and environmental noises. This paper proposes an outlier-robust sound source localization method using multiple microphone arrays. Proposed algorithm has been tested on three datasets: a simulation dataset and two datasets of bird songs recorded in the real environment with different microphone array layouts. The algorithm has been compared with other outlier extraction techniques. We confirmed the effectiveness of the proposed algorithm.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"230","bibliographic_titles":[{"bibliographic_title":"第79回全国大会講演論文集"}],"bibliographicPageStart":"229","bibliographicIssueDates":{"bibliographicIssueDate":"2017-03-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2017"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-19T00:48:41.227218+00:00","updated":"2025-01-20T04:40:26.910293+00:00"}