{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00091796","sets":["1164:5064:7126:7159"]},"path":["7159"],"owner":"11","recid":"91796","title":["音声認識の方法論に関する考察―歴史的変遷と今後の展望―"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-05-04"},"_buckets":{"deposit":"b629e329-7f94-45a8-b1fb-a8cd1d029279"},"_deposit":{"id":"91796","pid":{"type":"depid","value":"91796","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"音声認識の方法論に関する考察―歴史的変遷と今後の展望―","author_link":["0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"音声認識の方法論に関する考察―歴史的変遷と今後の展望―"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"【招待講演】 音声の認識と合成","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2013-05-04","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京都大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Kyoto University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/91796/files/IPSJ-MUS13099001.pdf"},"date":[{"dateType":"Available","dateValue":"2015-05-04"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MUS13099001.pdf","filesize":[{"value":"560.0 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"21"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"aceb077a-4e09-4394-a1f8-9e68d80ca2aa","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"河原達也"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10438388","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"音声認識技術の歴史的変遷を概観し、今後の展望について述べる。特に、音声認識の統計モデルの方法論に関して、従来“常識”と考えられてきたことが徐々に変遷していることを指摘する。まず、学習コーパスを人手で編纂するという方法論は限界に達し、自然に超大規模に集積するビッグデータパラダイムが近年の実用システム成功の鍵であることを述べる。次に、HMMやN-gramなどの生成モデルの最尤推定に代わって、最近研究コミュニティで流行になっている識別学習・識別モデルについて概観する。その上で、従来の通信路モデル（情報理論）に基づく定式化が、より一般的な枠組みに置き換えられるべきであることを指摘する。","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"研究報告音楽情報科学（MUS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2013-05-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2013-MUS-99"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-21T15:15:05.469886+00:00","created":"2025-01-18T23:40:57.321209+00:00","id":91796}