{"_buckets": {"deposit": "586657e4-e1c5-48e1-a158-c1aac055e5b0"}, "_deposit": {"id": "3343", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3343"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3343", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Acoustic Events Classification Using Support Vector Machines (SVMs)", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "In this paper, an approach is built toautomatically detect acoustic events that areproduced in a meeting or lecture room environment.Six audio classes are to be classified through thisapproach. The classes considered are music, speech,clapping, door slam, cough, and laughter. Severalevents samples are collected from the Internet.Support Vector Machines (SVMs) perform trainingand testing the events classification on perceptualand MFCC features set. A hierarchical clusteringscheme is used therefore the required number ofbinary SVM classifier is also reduced. The system istested on different data sets and its effectiveness isdetermined with classification accuracy on audioevent frames."}]}, "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": "2019-07-22"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "psc2010paper (167).pdf", "filesize": [{"value": "96 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 96000.0, "url": {"url": "https://meral.edu.mm/record/3343/files/psc2010paper (167).pdf"}, "version_id": "fa7e8122-ae01-4faa-8b5c-a2020e96fa68"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fifth 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": "Aung, Htat Htat"}, {"subitem_authors_fullname": "Oo, Hlaing Thida"}]}]}, "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": "2010-12-16"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1103"}, "item_title": "Acoustic Events Classification Using Support Vector Machines (SVMs)", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003343", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-22"}, "publish_date": "2019-07-22", "publish_status": "0", "recid": "3343", "relation": {}, "relation_version_is_last": true, "title": ["Acoustic Events Classification Using Support Vector Machines (SVMs)"], "weko_shared_id": -1}