{"created":"2023-05-15T11:59:44.084301+00:00","id":6304,"links":{},"metadata":{"_buckets":{"deposit":"391cfaf4-42a4-454b-ba35-aa774004523c"},"_deposit":{"created_by":3,"id":"6304","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"6304"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00006304","sets":["15:20"]},"author_link":["25999"],"item_23_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019-09","bibliographicIssueDateType":"Issued"},"bibliographicPageStart":"2760","bibliographic_titles":[{"bibliographic_title":"Proceedings of International Congress on Acoustics （ICA 2019）"}]}]},"item_23_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Beamforming has been one of the important issues in the field of multi-channel signal processing including acoustic signal processing. A wide variety of beamformers have been proposed for each application. In general acoustic beamforming for antenna array and radar applications. Recently, neural network-based non-liner beamformers become popular but have a problem that causes an annoying non-liner distortion on the output signal. In the case of speech enhancement, it is serious problem because our auditory system is highly sensitive to artificial non-linear distortion on speech signals. This paper proposes to solve the problem with the relaxed dual cost functions in the neural network-based beamformer for speech enhancement. The primary cost function aims at sharpening the beam-pattern, and the second cost function is introduced to achieve decreasing speech distortion. Those cost functions are alternatively used for optimizing the beam-pattern in the frequency range of speech signals. The feasibility of the proposed method is confirmed by carrying out a listening test.","subitem_description_type":"Abstract"}]},"item_23_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"23rd International Congress on Acoustics （ICA 2019）, September 9-13, 2019, Aachen, Germany","subitem_description_type":"Other"}]},"item_23_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Conference 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Institute of Technology, Japan"}]},"item_23_text_62":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"8025"}]},"item_23_version_type_58":{"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":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"Mizumachi, Mitsunori","creatorNameLang":"en"},{"creatorName":"水町, 光徳","creatorNameLang":"ja"},{"creatorName":"ミズマチ, ミツノリ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-01-08"}],"displaytype":"detail","filename":"ICA2019_p2760.pdf","filesize":[{"value":"535.7 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"ICA2019_p2760.pdf","url":"https://kyutech.repo.nii.ac.jp/record/6304/files/ICA2019_p2760.pdf"},"version_id":"87347c14-cfb9-4227-b344-bd9d2ece1227"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Beamforming","subitem_subject_scheme":"Other"},{"subitem_subject":"neural network","subitem_subject_scheme":"Other"},{"subitem_subject":"non-liner distortion","subitem_subject_scheme":"Other"},{"subitem_subject":"cost functions","subitem_subject_scheme":"Other"},{"subitem_subject":"spectral distortion","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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":"Neural Network-based Broadband Beamformer with Less Distortion","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Neural Network-based Broadband Beamformer with Less Distortion"}]},"item_type_id":"23","owner":"3","path":["20"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-01-08"},"publish_date":"2020-01-08","publish_status":"0","recid":"6304","relation_version_is_last":true,"title":["Neural Network-based Broadband Beamformer with Less Distortion"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-10-25T07:31:32.714109+00:00"}