{"created":"2025-01-19T00:34:34.996958+00:00","updated":"2025-01-20T11:41:38.610603+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00162541","sets":["6504:8672:8736"]},"path":["8736"],"owner":"6748","recid":"162541","title":["無矛盾位相復元を用いたケプストラム特徴量からの音声合成"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-03-10"},"_buckets":{"deposit":"4145adc0-2201-4ca9-a341-a35b4b4de5ac"},"_deposit":{"id":"162541","pid":{"type":"depid","value":"162541","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"無矛盾位相復元を用いたケプストラム特徴量からの音声合成","author_link":["317229","317230","317231"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"無矛盾位相復元を用いたケプストラム特徴量からの音声合成"}]},"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":"2016-03-10","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"明大"},{"subitem_text_value":"NII"},{"subitem_text_value":"明大"}]},"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/162541/files/IPSJ-Z78-6B-01.pdf","label":"IPSJ-Z78-6B-01.pdf"},"date":[{"dateType":"Available","dateValue":"2016-05-19"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z78-6B-01.pdf","filesize":[{"value":"398.4 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"e7148cc1-5562-4110-8ec5-99d25f55b111","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"濱田, 康弘"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小野, 順貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"嵯峨山, 茂樹"}],"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":"本研究では，高品質な音声合成を目指し，無矛盾位相復元を用いたケプストラム特徴量からの音声合成法を提案する。従来のHMM音声合成では合成時にケプストラム特徴量と基本周波数からMLSAフィルタを用いた合成を行っていたが，巡回型フィルタを用いた方法ではフィルタの時間特性，ゲイン特性が音質の劣化を招いていた。そこで，本発表では，フィルタを用いない方法として，HMM音声合成により得られたケプストラム特徴量と基本周波数情報からパワースペクトルを生成し，無矛盾な位相を再構築する方法による音声合成を行った結果を報告する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"16","bibliographic_titles":[{"bibliographic_title":"第78回全国大会講演論文集"}],"bibliographicPageStart":"15","bibliographicIssueDates":{"bibliographicIssueDate":"2016-03-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2016"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"id":162541,"links":{}}