{"created":"2023-07-27T06:25:54.890932+00:00","id":9410,"links":{},"metadata":{"_buckets":{"deposit":"3ba221fe-0871-4dac-b8b0-9510c66dbe54"},"_deposit":{"created_by":3,"id":"9410","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"9410"},"status":"published"},"_oai":{"id":"oai:kanazawa-u.repo.nii.ac.jp:00009410","sets":["934:935:936"]},"author_link":["9834","13532"],"item_4_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1997-09-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicPageEnd":"58","bibliographicPageStart":"48","bibliographicVolumeNumber":"80","bibliographic_titles":[{"bibliographic_title":"Electronics and Communications in Japan (Part III: Fundamental Electronic Science)"}]}]},"item_4_description_21":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Pitch frequency is one of the most important voice characteristics, and its accurate extraction is important not only in speech analysis and synthesis, but also in speech coding, speech recognition, speaker recognition, and the like. Existing methods of improving extraction accuracy include waveform processing, correlative processing, and spectral processing. This paper describes the use of a neural network to extract pitch from voice features delivered from the bandpass filter pairs (BPFPs) proposed by Fonda et al. Three types of multi-layered neural networks able to learn time-continuity and high accuracy discrimination functions and have a recurrent structure are tested. The cross-coupling multi-layered neural network with feedback architecture gives the best improvement over conventional neural networks, and exhibits superior ability for learning time continuity of pitch and U/V information. © 1997 Scripta Technica, Inc. Electron Comm Jpn Pt 3, 80(9): 48–58, 1997.","subitem_description_type":"Abstract"}]},"item_4_publisher_17":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"電子情報通信学会 = (THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS"}]},"item_4_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1002/(sici)1520-6440(199709)80:9<48::aid-ecjc6>3.0.co;2-w","subitem_relation_type_select":"DOI"}}]},"item_4_relation_28":{"attribute_name":"関連URI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://www.ieice.org/jpn/","subitem_relation_type_select":"URI"}}]},"item_4_source_id_11":{"attribute_name":"NCID","attribute_value_mlt":[{"subitem_source_identifier":"AA11330851","subitem_source_identifier_type":"NCID"}]},"item_4_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1042-0967","subitem_source_identifier_type":"ISSN"}]},"item_4_version_type_25":{"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":"Miyabayashi, Hideo"}],"nameIdentifiers":[{"nameIdentifier":"13532","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Funada, Tetsuo"}],"nameIdentifiers":[{"nameIdentifier":"9834","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"40019766","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=40019766"},{"nameIdentifier":"40019766","nameIdentifierScheme":"研究者番号","nameIdentifierURI":"https://nrid.nii.ac.jp/nrid/1000040019766"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-10-03"}],"displaytype":"detail","filename":"TE-PR-FUNAADA-T-48-58.pdf","filesize":[{"value":"713.2 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"TE-PR-FUNAADA-T-48-58.pdf","url":"https://kanazawa-u.repo.nii.ac.jp/record/9410/files/TE-PR-FUNAADA-T-48-58.pdf"},"version_id":"de5b8d98-253b-4b09-ae1a-c3f01d957002"}]},"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":"Pitch extraction and voiced/unvoiced detection of speech by cross-coupling multi-layered neural network with feedback architecture","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Pitch extraction and voiced/unvoiced detection of speech by cross-coupling multi-layered neural network with feedback architecture"}]},"item_type_id":"4","owner":"3","path":["936"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-10-03"},"publish_date":"2017-10-03","publish_status":"0","recid":"9410","relation_version_is_last":true,"title":["Pitch extraction and voiced/unvoiced detection of speech by cross-coupling multi-layered neural network with feedback architecture"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2024-06-20T06:23:12.792476+00:00"}