Index Link

  • RootNode
    • Co-operative College, Mandalay
    • Cooperative College, Phaunggyi
    • Co-operative University, Sagaing
    • Co-operative University, Thanlyin
    • Dagon University
    • Kyaukse University
    • Laquarware Technological college
    • Mandalay Technological University
    • Mandalay University of Distance Education
    • Mandalay University of Foreign Languages
    • Maubin University
    • Mawlamyine University
    • Meiktila University
    • Mohnyin University
    • Myanmar Institute of Information Technology
    • Myanmar Maritime University
    • National Management Degree College
    • Naypyitaw State Academy
    • Pathein University
    • Sagaing University
    • Sagaing University of Education
    • Taunggyi University
    • Technological University, Hmawbi
    • Technological University (Kyaukse)
    • Technological University Mandalay
    • University of Computer Studies, Mandalay
    • University of Computer Studies Maubin
    • University of Computer Studies, Meikhtila
    • University of Computer Studies Pathein
    • University of Computer Studies, Taungoo
    • University of Computer Studies, Yangon
    • University of Dental Medicine Mandalay
    • University of Dental Medicine, Yangon
    • University of Information Technology
    • University of Mandalay
    • University of Medicine 1
    • University of Medicine 2
    • University of Medicine Mandalay
    • University of Myitkyina
    • University of Public Health, Yangon
    • University of Veterinary Science
    • University of Yangon
    • West Yangon University
    • Yadanabon University
    • Yangon Technological University
    • Yangon University of Distance Education
    • Yangon University of Economics
    • Yangon University of Education
    • Yangon University of Foreign Languages
    • Yezin Agricultural University
    • New Index

Item

{"_buckets": {"deposit": "d01109cd-a77d-47e2-a568-0c884720b693"}, "_deposit": {"created_by": 71, "id": "7419", "owner": "71", "owners": [71], "owners_ext": {"displayname": "Kay_Thwe", "username": "kay_thwe"}, "pid": {"revision_id": 0, "type": "depid", "value": "7419"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007419", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "A Study On Feature Analysis Using Sparse Representation For Music Classification", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This paper presents the first attempt to classify\nfor Myanmar ethnic music by using sparse\nrepresentation classification method to define the\nclass label according to their ethnic traditional style.\nIn this system, the only five myanmar ethnic groups\nare considered such as Kachin, Kayin, Mon, Shan,\nRakhine. The classification system describe the\nbetter accuracy by analysing the temporal features\nand spectral features, the best outcome by\ncalculating all the results based on Sparse\nRepresentation classifier in compared with K Nearest\nNeighbors classifier. Therefore, this audio\nclassification achieved the results by evaluating\nfeature combination and the best feature combination\nby using SRC and KNN classfier. With all the features\nof all ethnic classes, the overall outcome of the SRC\n64%, which is better than 54% of the overall KNN\naccuracy. All features (114) combination give the best\nresults of 82% for Kayin ethnic songs than other\nethnic songs.The feature combination of MFCC(std,\ndeltamean) are tested on all of five ethnic classes\nwhich is the best classification results of 75.00%\naccuracy from SRC classifier than the classification\nresults of 51.33% from KNN classifier."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "myanmar ethnic music, sparse representation classifier, k nearest neighbors, temporal feature, spectral feature"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-01-12"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "A Study On Feature Analysis Using Sparse Representation For Music Classification.pdf", "filesize": [{"value": "1.1 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 1100000.0, "url": {"url": "https://meral.edu.mm/record/7419/files/A Study On Feature Analysis Using Sparse Representation For Music Classification.pdf"}, "version_id": "0d5df97d-8a5a-4f1c-808c-e0f9d1954daf"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "No-1", "subitem_journal_title": "Journal of Research and Applications (JRA), UCSMTLA, 2019", "subitem_pages": "80-87", "subitem_volume": "vol-1"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "May Thu Myint"}, {"subitem_authors_fullname": "Phyu Phyu Khaing"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Journal article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2019-12-12"}, "item_title": "A Study On Feature Analysis Using Sparse Representation For Music Classification", "item_type_id": "21", "owner": "71", "path": ["1582963674932", "1597397050488"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007419", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2021-01-12"}, "publish_date": "2021-01-12", "publish_status": "0", "recid": "7419", "relation": {}, "relation_version_is_last": true, "title": ["A Study On Feature Analysis Using Sparse Representation For Music Classification"], "weko_shared_id": -1}

A Study On Feature Analysis Using Sparse Representation For Music Classification

http://hdl.handle.net/20.500.12678/0000007419
2f2da75a-f05e-4007-a988-08efb49e6b33
d01109cd-a77d-47e2-a568-0c884720b693
None
Name / File License Actions
A A Study On Feature Analysis Using Sparse Representation For Music Classification.pdf (1.1 MB)
Publication type
Journal article
Upload type
Publication
Title
Title A Study On Feature Analysis Using Sparse Representation For Music Classification
Language en
Publication date 2019-12-12
Authors
May Thu Myint
Phyu Phyu Khaing
Description
This paper presents the first attempt to classify
for Myanmar ethnic music by using sparse
representation classification method to define the
class label according to their ethnic traditional style.
In this system, the only five myanmar ethnic groups
are considered such as Kachin, Kayin, Mon, Shan,
Rakhine. The classification system describe the
better accuracy by analysing the temporal features
and spectral features, the best outcome by
calculating all the results based on Sparse
Representation classifier in compared with K Nearest
Neighbors classifier. Therefore, this audio
classification achieved the results by evaluating
feature combination and the best feature combination
by using SRC and KNN classfier. With all the features
of all ethnic classes, the overall outcome of the SRC
64%, which is better than 54% of the overall KNN
accuracy. All features (114) combination give the best
results of 82% for Kayin ethnic songs than other
ethnic songs.The feature combination of MFCC(std,
deltamean) are tested on all of five ethnic classes
which is the best classification results of 75.00%
accuracy from SRC classifier than the classification
results of 51.33% from KNN classifier.
Keywords
myanmar ethnic music, sparse representation classifier, k nearest neighbors, temporal feature, spectral feature
Journal articles
No-1
Journal of Research and Applications (JRA), UCSMTLA, 2019
80-87
vol-1
0
0
views
downloads
Views Downloads

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats