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https://hdl.handle.net/10356/65302
Title: | Musical note recognition and regeneration | Authors: | Lu, Eric Kiah Soon Soh, Beng Huat |
Keywords: | DRNTU::Engineering::Electrical and electronic engineering | Issue Date: | 2004 | Abstract: | This project involves the extraction of musical notes from audio files. A constant quality factor transform is used to perform spectral analysis on the musical signal. An algorithm for extracting notes from the spectral data is form. Initially, musical tracks (.cda format) from CD is extracted and converted to wave file (.wav format) using software EASY CDRIPPLE. This wave file is later used to yield spectral representation of musical signals for musical analysis. The data values of the note frequency, duration and loudness are noted and tabulated into a data tile for later use. Lastly, a program is written in Turbo C++ to regenerate the musical notes transcripted previously. | URI: | http://hdl.handle.net/10356/65302 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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EricLu_SohBengHuat2004.pdf Restricted Access | 9.98 MB | Adobe PDF | View/Open |
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