Music identification
Music identification eases information anxiety by bypassing text-based input or search efforts of the user to retrieve its contents. As current efforts towards Music Information Retrieval have been directed towards system-centric designs, this project hopes to shed light and explore its user-centric...
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| Format: | Final Year Project |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/71757 |
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-717572023-07-07T15:48:30Z Music identification Ho, Grace Xue Hui Anamitra Makur School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Music identification eases information anxiety by bypassing text-based input or search efforts of the user to retrieve its contents. As current efforts towards Music Information Retrieval have been directed towards system-centric designs, this project hopes to shed light and explore its user-centric design potential. It explores the science and mathematics towards direct recognition to a song in the database, and tempo and frequency adjustments made to identify the resampled query to a song in the database. The MATLAB software is used to craft the algorithms, cascade the two modules, collate their results and analyse them, and present them in the GUI application. Recommendations have also been proposed to move this project forwards. Bachelor of Engineering 2017-05-19T03:01:25Z 2017-05-19T03:01:25Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71757 en Nanyang Technological University 51 p. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
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DR-NTU |
| language |
English |
| topic |
DRNTU::Engineering::Electrical and electronic engineering |
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DRNTU::Engineering::Electrical and electronic engineering Ho, Grace Xue Hui Music identification |
| description |
Music identification eases information anxiety by bypassing text-based input or search efforts of the user to retrieve its contents. As current efforts towards Music Information Retrieval have been directed towards system-centric designs, this project hopes to shed light and explore its user-centric design potential. It explores the science and mathematics towards direct recognition to a song in the database, and tempo and frequency adjustments made to identify the resampled query to a song in the database. The MATLAB software is used to craft the algorithms, cascade the two modules, collate their results and analyse them, and present them in the GUI application. Recommendations have also been proposed to move this project forwards. |
| author2 |
Anamitra Makur |
| author_facet |
Anamitra Makur Ho, Grace Xue Hui |
| format |
Final Year Project |
| author |
Ho, Grace Xue Hui |
| author_sort |
Ho, Grace Xue Hui |
| title |
Music identification |
| title_short |
Music identification |
| title_full |
Music identification |
| title_fullStr |
Music identification |
| title_full_unstemmed |
Music identification |
| title_sort |
music identification |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10356/71757 |
| _version_ |
1772826427536703488 |