Automatic music transcription
In the recent years, many methods on automatic music transcription are proposed. Due to interests in Harmonic Adaptive Latent Component Analysis (HALCA) model and its application to music transcription, in this project report, I reviewed the works about the HALCA model theory and related previous wo...
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2016
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| Online Access: | http://hdl.handle.net/10356/66736 |
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sg-ntu-dr.10356-667362023-03-03T20:40:29Z Automatic music transcription Yang, Qihuang Lin Weisi School of Computer Engineering A*STAR Institute for Infocomm Research (I2R) Huang Dongyan DRNTU::Engineering In the recent years, many methods on automatic music transcription are proposed. Due to interests in Harmonic Adaptive Latent Component Analysis (HALCA) model and its application to music transcription, in this project report, I reviewed the works about the HALCA model theory and related previous works in order to find any possible ways to improve the performance of the music transcription program based on HALCA model. My work can be divided into three parts. Firstly, a new sliced CQT is used to replace the current CQT method in the given program. Then I worked on post-processing algorithm to improve the performance of HALCA to music transcription. Thirdly, an effort is made to find an automatic threshold determination method for extracting information. Finally, limitations of current methods are analyzed and future research directions are identified. Bachelor of Engineering (Computer Engineering) 2016-04-25T02:00:53Z 2016-04-25T02:00:53Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66736 en Nanyang Technological University 47 p. application/pdf |
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DRNTU::Engineering Yang, Qihuang Automatic music transcription |
| description |
In the recent years, many methods on automatic music transcription are proposed. Due to interests in Harmonic Adaptive Latent Component Analysis (HALCA) model and its application to music transcription, in this project report, I reviewed the works about the HALCA model theory and related previous works in order to find any possible ways to improve the performance of the music transcription program based on HALCA model. My work can be divided into three parts. Firstly, a new sliced CQT is used to replace the current CQT method in the given program. Then I worked on post-processing algorithm to improve the performance of HALCA to music transcription. Thirdly, an effort is made to find an automatic threshold determination method for extracting information. Finally, limitations of current methods are analyzed and future research directions are identified. |
| author2 |
Lin Weisi |
| author_facet |
Lin Weisi Yang, Qihuang |
| format |
Final Year Project |
| author |
Yang, Qihuang |
| author_sort |
Yang, Qihuang |
| title |
Automatic music transcription |
| title_short |
Automatic music transcription |
| title_full |
Automatic music transcription |
| title_fullStr |
Automatic music transcription |
| title_full_unstemmed |
Automatic music transcription |
| title_sort |
automatic music transcription |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10356/66736 |
| _version_ |
1759856161380630528 |