Musical note recognition and regeneration
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...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/65302 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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