{"created":"2020-09-01T14:20:07.063745+00:00","id":4200,"links":{},"metadata":{"_buckets":{"deposit":"094f65e4-5ee7-49ec-a321-9046387cf55a"},"_deposit":{"id":"4200","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4200"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4200","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Audio Classification Framework based on DSVM","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"The explanation of how a decision made isimportant for accepting the machine learningtechnology, especially for applications such asmultimedia. SVMs have shown strong generalizationability in a number of application areas, includingaudio classification. However, the poorcomprehensibility hinders the success of the SVM foraudio class prediction. On the other hand, a decisiontree has good comprehensibility. This approachcombines the SVM with decision tree. We use theSVM as a decision of binary tree to select stronginstances to generate rules; it is known as decisionSVM (DSVM). We considered eight audio classes:silence, non-silence, speech with music, speech withnoise, music with environment sound, instrumentalmusic, environmental sound and noise. Thisclassification and analysis is intended to analyze thestructure of the sports video."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value":[]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-08-06"}],"displaytype":"preview","filename":"59003.pdf","filesize":[{"value":"273 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4200/files/59003.pdf"},"version_id":"9d09c951-c1ed-444d-b3ec-ca063044c612"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Fourth Local Conference on Parallel and Soft Computing","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Lin, K Zin"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2009-12-30"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://ucsy.edu.mm/onlineresource/handle/123456789/1894"},"item_title":"Audio Classification Framework based on DSVM","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-08-06","publish_status":"0","recid":"4200","relation_version_is_last":true,"title":["Audio Classification Framework based on DSVM"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-03-24T23:12:02.999215+00:00"}