{"created":"2023-07-25T10:25:25.822281+00:00","id":3783,"links":{},"metadata":{"_buckets":{"deposit":"90d7a5b3-0946-4b71-bff7-0bbb0906c269"},"_deposit":{"created_by":2,"id":"3783","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"3783"},"status":"published"},"_oai":{"id":"oai:naist.repo.nii.ac.jp:00003783","sets":["34:35"]},"author_link":["6123","6124","6120","6122","6121","6125","6119"],"item_7_alternative_title_1":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Unsupervised Acoustic Model Adaptation Algorithm Using MLLR in Noisy Environment"}]},"item_7_biblio_info_9":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2002-05","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicPageEnd":"841","bibliographicPageStart":"833","bibliographicVolumeNumber":"J85-D-II","bibliographic_titles":[{"bibliographic_title":"電子情報通信学会論文誌D-II"}]}]},"item_7_description_19":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_7_description_7":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"MLLRと多数話者データベースを用いたHMM音響モデルの教師なし環境雑音適応アルゴリズムを提案する.対象話者の任意の1文発声と居室雑音を入力として音声データベースから環境適応用雑音重畳データを生成することで,話者に負担をかけずに大量の適応用データを得ることができる.具体的な適応処理は以下の3段階からなる.(1)GMMを用いた話者識別を用いて,入力話者と音響的距離の近い話者をデータベースから選択する.(2)(1)の選択話者の読み上げ音声をデータベースから抽出し,居室雑音を重畳する.(3)その雑音重畳音声を適応サンプルとしてMLLRによる適応を行う.更に,十分統計量と話者距離による教師なし話者適応及びHMM合成法を統合することで,高精度な教師なし統合適応システムを構築する.大語彙連続音声認識において評価した結果,提案手法による適応モデルは環境Matched Modelと同等以上の認識精度を示し,数十サンプルを用いた教師ありMLLRに近い性能が得られた.本適応システムによって認識率はSNRが20dBの雑音環境下においてmonophoneモデルで48.3%から70.5%に,PTMモデルで60.1%から79.9%に改善された.","subitem_description_type":"Abstract"}]},"item_7_publisher_10":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"電子情報通信学会"}]},"item_7_rights_11":{"attribute_name":"出版者URL","attribute_value_mlt":[{"subitem_rights":"http://ci.nii.ac.jp/naid/110003184310 | http://ci.nii.ac.jp/naid/110003184310"}]},"item_7_rights_18":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright (C) 2002 電子情報通信学会."}]},"item_7_source_id_12":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0915-1923","subitem_source_identifier_type":"ISSN"}]},"item_7_source_id_14":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN1007132X","subitem_source_identifier_type":"NCID"}]},"item_7_version_type_20":{"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":[{"creatorNames":[{"creatorName":"山田, 実一"}],"nameIdentifiers":[{"nameIdentifier":"6119","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"馬場, 朗"}],"nameIdentifiers":[{"nameIdentifier":"6120","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"芳澤, 伸一"}],"nameIdentifiers":[{"nameIdentifier":"6121","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"米良, 祐一郎"}],"nameIdentifiers":[{"nameIdentifier":"6122","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"李, 晃伸"}],"nameIdentifiers":[{"nameIdentifier":"6123","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"猿渡, 洋"}],"nameIdentifiers":[{"nameIdentifier":"6124","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"鹿野, 清宏"}],"nameIdentifiers":[{"nameIdentifier":"6125","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2023-03-02"}],"displaytype":"detail","filename":"IEICEDII_JD85II_5_833.pdf","filesize":[{"value":"5.9 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"IEICEDII_JD85II_5_833.pdf","url":"https://naist.repo.nii.ac.jp/record/3783/files/IEICEDII_JD85II_5_833.pdf"},"version_id":"f3e79f42-8abe-4b90-ab37-ba3d2906116c"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"音響モデル","subitem_subject_scheme":"Other"},{"subitem_subject":"環境適応","subitem_subject_scheme":"Other"},{"subitem_subject":"教師なし反応","subitem_subject_scheme":"Other"},{"subitem_subject":"大語彙連続音声認識","subitem_subject_scheme":"Other"},{"subitem_subject":"MLLR","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal 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