{"_buckets": {"deposit": "8857c6f1-29bb-4a96-9a4a-95fe7d08211f"}, "_deposit": {"id": "3464", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3464"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3464", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Sound Classification using Image Feature Extraction Technique", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This paper presents texture feature extractionmethods for sound classification. Nowadays, manyresearchers interest in combination of digital signalprocessing and digital image processing fields to gethigher efficiency. In this paper, feature extractionmethods used in image processing are applied inclassification of signal processing. Signals areconverted into image format and then features areextracted using bi-directional local binary pattern.Feature vector is constructed using these featuresand then label the input signal by checking similarlyvalue from known dataset using multi support vectormachine classifier. Evaluation is tested onbenchmark dataset namely ESC10 Dataset, ESC50Dataset and UrbanSound8K Dataset.This paper presents texture feature extractionmethods for sound classification. Nowadays, manyresearchers interest in combination of digital signalprocessing and digital image processing fields to gethigher efficiency. In this paper, feature extractionmethods used in image processing are applied inclassification of signal processing. Signals areconverted into image format and then features areextracted using bi-directional local binary pattern.Feature vector is constructed using these featuresand then label the input signal by checking similarlyvalue from known dataset using multi support vectormachine classifier. Evaluation is tested onbenchmark dataset namely ESC10 Dataset, ESC50Dataset and UrbanSound8K Dataset."}]}, "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": "2019-07-23"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "ICCA 2019 Proceedings Book-pages-224-232.pdf", "filesize": [{"value": "301 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 301000.0, "url": {"url": "https://meral.edu.mm/record/3464/files/ICCA 2019 Proceedings Book-pages-224-232.pdf"}, "version_id": "be570e1f-8627-410e-a969-530ab2dc1451"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Seventeenth International Conference on Computer Applications(ICCA 2019)", "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": "Thwe, Khine Zar"}, {"subitem_authors_fullname": "Thaw, Mie Mie"}]}]}, "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": "2019-02-27"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1211"}, "item_title": "Sound Classification using Image Feature Extraction Technique", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003464", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-23"}, "publish_date": "2019-07-23", "publish_status": "0", "recid": "3464", "relation": {}, "relation_version_is_last": true, "title": ["Sound Classification using Image Feature Extraction Technique"], "weko_shared_id": -1}