MERAL Myanmar Education Research and Learning Portal
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
http://hdl.handle.net/20.500.12678/00000074192f2da75a-f05e-4007-a988-08efb49e6b33
d01109cd-a77d-47e2-a568-0c884720b693
Name / File | License | Actions |
---|---|---|
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 |