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|Title:||Final year project||Authors:||Feng, Xiang||Keywords:||DRNTU::Engineering::Electrical and electronic engineering||Issue Date:||2005||Abstract:||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.||URI:||http://hdl.handle.net/10356/65293||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Student Reports (FYP/IA/PA/PI)|
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