Final year project
Nowadays, music has been transferred from traditional media to modern formats, such as MP3 and so on. It brings huge changes to human's living style as well as professionals who are working on music. Analysis of music become more and more popular to achieve real quality record or extract fe...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/10356/65293 |
| _version_ | 1824455456157859840 |
|---|---|
| author | Feng, Xiang |
| author2 | Foo Say Wei |
| author_facet | Foo Say Wei Feng, Xiang |
| author_sort | Feng, Xiang |
| collection | NTU |
| description | Nowadays, music has been transferred from traditional media to modern
formats, such as MP3 and so on. It brings huge changes to human's living
style as well as professionals who are working on music. Analysis of music
become more and more popular to achieve real quality record or extract
features and information from a piece of music.
The idea in this project is to pick a musical performance from a musical
recording, and convert it into a symbolic representation. We only concentrate
on the part of extraction of notes. Emphasis of this thesis is laid on two points:
on literature review and on algorithm development. A literature review was
conducted on automatic music transcription and several related areas of
interest. An appropriate decomposition of the problem and the selection of an
approach is first considered. Then the state-of-the-art of the research is
represented and discussed, and promising directions for further work are
indicated. An original and the most important part of this report concerns the
algorithms that can be used to detect and observe harmonic sounds in
polyphonic signals. A method is motivated by the spectral properties of a
mixture of harmonic sounds, especially in musical signals. The performance
of the method is evaluated by applying it in a piano music transcription
program, which was implemented and simulated in Matlab environment. |
| first_indexed | 2025-02-19T03:38:29Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/65293 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:38:29Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/652932023-07-07T15:48:04Z Final year project Feng, Xiang Foo Say Wei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Nowadays, music has been transferred from traditional media to modern formats, such as MP3 and so on. It brings huge changes to human's living style as well as professionals who are working on music. Analysis of music become more and more popular to achieve real quality record or extract features and information from a piece of music. The idea in this project is to pick a musical performance from a musical recording, and convert it into a symbolic representation. We only concentrate on the part of extraction of notes. Emphasis of this thesis is laid on two points: on literature review and on algorithm development. A literature review was conducted on automatic music transcription and several related areas of interest. An appropriate decomposition of the problem and the selection of an approach is first considered. Then the state-of-the-art of the research is represented and discussed, and promising directions for further work are indicated. An original and the most important part of this report concerns the algorithms that can be used to detect and observe harmonic sounds in polyphonic signals. A method is motivated by the spectral properties of a mixture of harmonic sounds, especially in musical signals. The performance of the method is evaluated by applying it in a piano music transcription program, which was implemented and simulated in Matlab environment. Bachelor of Engineering 2015-07-09T02:10:57Z 2015-07-09T02:10:57Z 2005 2005 Final Year Project (FYP) http://hdl.handle.net/10356/65293 en Nanyang Technological University 89 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Feng, Xiang Final year project |
| title | Final year project |
| title_full | Final year project |
| title_fullStr | Final year project |
| title_full_unstemmed | Final year project |
| title_short | Final year project |
| title_sort | final year project |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/65293 |
| work_keys_str_mv | AT fengxiang finalyearproject |