{"id":69901,"updated":"2025-01-21T23:42:42.839555+00:00","links":{},"created":"2025-01-18T23:29:14.982944+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00069901","sets":["1164:5159:6009:6133"]},"path":["6133"],"owner":"10","recid":"69901","title":["音源分離法SAFIAを用いたロボット動作雑音中の話者方向判定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2010-07-15"},"_buckets":{"deposit":"35221e7c-58af-4021-9708-228b2293992b"},"_deposit":{"id":"69901","pid":{"type":"depid","value":"69901","revision_id":0},"owners":[10],"status":"published","created_by":10},"item_title":"音源分離法SAFIAを用いたロボット動作雑音中の話者方向判定","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"音源分離法SAFIAを用いたロボット動作雑音中の話者方向判定"},{"subitem_title":"Speaker-direction Detection under Mechanical Noises using SAFIA Sound Segregation Method","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"頑健な音声認識","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2010-07-15","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"関西学院大学理工学研究科"},{"subitem_text_value":"関西学院大学理工学研究科"},{"subitem_text_value":"関西学院大学理工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"School of Science and Technology, Kwansei Gakuin University","subitem_text_language":"en"},{"subitem_text_value":"School of Science and Technology, Kwansei Gakuin University","subitem_text_language":"en"},{"subitem_text_value":"School of Science and Technology, Kwansei Gakuin University","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/69901/files/IPSJ-SLP10082003.pdf"},"date":[{"dateType":"Available","dateValue":"2012-07-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLP10082003.pdf","filesize":[{"value":"825.9 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"22"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"27c41768-7408-4a16-9d1c-a27fa9ee438e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2010 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"川野, 恵右"},{"creatorName":"春木, 智貴"},{"creatorName":"川端, 豪"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Keisuke, Kawano","creatorNameLang":"en"},{"creatorName":"Tomoki, Haruki","creatorNameLang":"en"},{"creatorName":"Takeshi, Kawabata","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10442647","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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"モーター音や機械雑音への対処はロボットの音声処理を考える上で重要である．これらの直接雑音は人間の音声よりも大きな音量でマイクに入力されることもあり，例えば音声方向の判定に大きな悪影響を及ぼす．SAFIA は雑音混入音声中から特定の音声ストリームを分離する強力な手法として知られている．本報告では，SAFIA を音声の到来方向の判定に適用することを考える．ロボットの肩および胸にマイクを三角形に配置し，周波数帯域ごとの到達位相差を SAFIA で取捨選択し方向を判定する．実験の結果，SAFIA による音源分離を利用することによって，S/N 比-9dB の条件で方向判定誤りの約 85% を削減出来ることが分かった．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Reduction of motor and mechanical noises is an important issue for robot audition. Such direct noises are often larger than human voices and fatally disturb the speaker-direction detection. SAFIA is known as a powerful method to segregate speech streams from noisy sounds. This paper adopts the SAFIA to speaker-direction detection fields. Three microphones, located at robot shoulders and a chest, make a triangle. The inter-channel phase differences among these three channels indicate the speaker direction. Experiments show that the SAFIA method reduces 85% of direction-detection errors for S/N -9dB.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告音声言語情報処理（SLP）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2010-07-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"2010-SLP-82"}]},"relation_version_is_last":true,"weko_creator_id":"10"}}