{"_buckets": {"deposit": "7a4454d3-d466-4258-8c05-7628e13350c5"}, "_deposit": {"id": "4604", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4604"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4604", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Building Speaker Identification Dataset for Noisy Conditions", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Speech signal processing plays a crucial rolein any speech-related system whether AutomaticSpeech Recognition or Speaker Recognition orSpeech Synthesis or something else. Burmeselanguage can be considered as an under resourcedlanguage due to its linguistic resource availability.For building Burmese speaker identification system,the sufficient amount of speech data collection is avery challenging task in a short time. In order to gethigher data size, this paper analyzes that the gettinghigher duration of speech data actually combiningwith various noises encountering in oursurroundings. For increased noisy state speech data,we also used the voice activity detection (VAD)technique to acquire only the speaker specificinformation. For feature extraction, we used MFCC,Filter Banks and PLP techniques. The experimentswere developed with i-vector methods on GMM-UBMtogether with PLDA and presented the performanceof different data set in the form of EER with twomodels trained on clean and noisy data to prove thatthe developed speaker identification system is noiserobust."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Burmese Speaker Identification"}, {"interim": "noise robustness"}, {"interim": "VAD"}, {"interim": "MFCC"}, {"interim": "Filter Banks"}, {"interim": "PLP"}, {"interim": "GMMUBM"}, {"interim": "PLDA"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-03-17"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Building Speaker Identification Dataset for Noisy Conditions.pdf", "filesize": [{"value": "299 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 299000.0, "url": {"url": "https://meral.edu.mm/record/4604/files/Building Speaker Identification Dataset for Noisy Conditions.pdf"}, "version_id": "2fc513dc-e62b-407f-baeb-b935972246e4"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020)", "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": "Phyu, Win Lai Lai"}, {"subitem_authors_fullname": "Pa, Win Pa"}]}]}, "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": "2020-02-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "978-1-7281-5925-6"}, "item_title": "Building Speaker Identification Dataset for Noisy Conditions", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004604", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-03-17"}, "publish_date": "2020-03-17", "publish_status": "0", "recid": "4604", "relation": {}, "relation_version_is_last": true, "title": ["Building Speaker Identification Dataset for Noisy Conditions"], "weko_shared_id": -1}