{"_buckets": {"deposit": "b9137966-8ac0-4e6f-bf6e-850c798d16ac"}, "_deposit": {"id": "13075", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "13075"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00013075", "sets": ["314"]}, "author_link": ["41146", "41147", "41148"], "item_10_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2010-05-01", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "5", "bibliographicPageEnd": "1252", "bibliographicPageStart": "1244", "bibliographicVolumeNumber": "E93-D", "bibliographic_titles": [{"bibliographic_title": "IEICE transactions on information and systems", "bibliographic_titleLang": "en"}]}]}, "item_10_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "To improve speech recognition performance, feature transformation based on discriminant analysis has been widely used to reduce the redundant dimensions of acoustic features. Linear discriminant analysis (LDA) and heteroscedastic discriminant analysis (HDA) are often used for this purpose, and a generalization method for LDA and HDA, called power LDA (PLDA), has been proposed. However, these methods may result in an unexpected dimensionality reduction for multimodal data. It is important to preserve the local structure of the data when reducing the dimensionality of multimodal data. In this paper we introduce two methods, locality-preserving HDA and locality-preserving PLDA, to reduce dimensionality of multimodal data appropriately. We also propose an approximate calculation scheme to calculate sub-optimal projections rapidly. Experimental results show that the locality-preserving methods yield better performance than the traditional ones in speech recognition.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "URI", "subitem_identifier_uri": "http://www.ieice.org/jpn/trans_online/index.html"}, {"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/14969"}]}, "item_10_publisher_32": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "Institute of Electronics, Information and Communication Engineers", "subitem_publisher_language": "en"}]}, "item_10_relation_43": {"attribute_name": "関連情報", "attribute_value_mlt": [{"subitem_relation_type": "isVersionOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "http://www.ieice.org/jpn/trans_online/index.html", "subitem_relation_type_select": "URI"}}]}, "item_10_rights_12": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "Copyright (C) 2010 IEICE", "subitem_rights_language": "en"}]}, "item_10_select_15": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_source_id_7": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "0916-8532", "subitem_source_identifier_type": "PISSN"}]}, "item_1615787544753": {"attribute_name": "出版タイプ", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_access_right": {"attribute_name": "アクセス権", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "SAKAI, Makoto", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "41146", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "KITAOKA, Norihide", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "41147", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "TAKEDA, Kazuya", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "41148", "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": "2018-02-20"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "396.pdf", "filesize": [{"value": "218.3 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_note", "mimetype": "application/pdf", "size": 218300.0, "url": {"label": "396.pdf", "objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/13075/files/396.pdf"}, "version_id": "ddcb1f6b-66bf-4fb2-9def-45436ffa8a44"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "speech recognition", "subitem_subject_scheme": "Other"}, {"subitem_subject": "feature extraction", "subitem_subject_scheme": "Other"}, {"subitem_subject": "multidimensional signal processing", "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": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Acoustic Feature Transformation Based on Discriminant Analysis Preserving Local Structure for Speech Recognition", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Acoustic Feature Transformation Based on Discriminant Analysis Preserving Local Structure for Speech Recognition", "subitem_title_language": "en"}]}, "item_type_id": "10", "owner": "1", "path": ["314"], "permalink_uri": "http://hdl.handle.net/2237/14969", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2011-06-28"}, "publish_date": "2011-06-28", "publish_status": "0", "recid": "13075", "relation": {}, "relation_version_is_last": true, "title": ["Acoustic Feature Transformation Based on Discriminant Analysis Preserving Local Structure for Speech Recognition"], "weko_shared_id": -1}