{"created":"2023-05-15T14:24:55.647348+00:00","id":3504,"links":{},"metadata":{"_buckets":{"deposit":"acde1768-7ed7-48fe-b066-570a4af6d9a4"},"_deposit":{"created_by":3,"id":"3504","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"3504"},"status":"published"},"_oai":{"id":"oai:repository.ninjal.ac.jp:00003504","sets":["245:516"]},"author_link":["11737","11738","11739","11740","11742","11741"],"item_10003_biblio_info_32":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"146","bibliographicPageStart":"138","bibliographicVolumeNumber":"6","bibliographic_titles":[{"bibliographic_title":"言語資源活用ワークショップ発表論文集"},{"bibliographic_title":"Proceedings of Language Resources Workshop","bibliographic_titleLang":"en"}]}]},"item_10003_description_27":{"attribute_name":"会議概要(会議名, 開催地, 会期, 主催者等)","attribute_value_mlt":[{"subitem_description":"会議名: 言語資源活用ワークショップ2021, 開催地: オンライン, 会期: 2021年9月13日-14日, 主催: 国立国語研究所 コーパス開発センター","subitem_description_type":"Other"}]},"item_10003_description_29":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"本稿では,rtMRIデータから音響特徴量を生成するための深層学習モデルを提案する。調音器官全体を高解像度で記録できるrtMRIは,調音データから音響特徴量を生成するための元データとして有用であると考えられるが,フレームレートが比較的低いという問題がある。そこで我々は,転置畳み込みネットワークを用いて時間軸方向に超解像処理を行う方法を提案する。標準的な畳み込みニューラルネットワークが畳み込みによって主に画像の近隣情報を圧縮するのに対して,転置畳み込みネットワークではこの逆の操作を行うことにより,画像の解像度を向上させる。本手法ではこの超解像処理をrtMRIデータの時間方向に適用することによって,rtMRIデータの時間解像度を向上させる。メルケプストラム歪みとPESQを評価尺度として用いた実験の結果,転置畳み込みネットワークは正確な音響特徴量の生成に有効であることがわかった。また,超解像処理の倍率を上げることで,PESQのスコアが向上することも確認した。","subitem_description_type":"Abstract"}]},"item_10003_description_43":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_10003_description_51":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_description":"東京理科大学","subitem_description_type":"Other"},{"subitem_description":"東京理科大学","subitem_description_type":"Other"},{"subitem_description":"東京理科大学","subitem_description_type":"Other"},{"subitem_description":"東京理科大学","subitem_description_type":"Other"}]},"item_10003_description_52":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_description":"Tokyo 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