Musical note recognition
This project aims to achieve musical notes recognition on polyphonic musical signals. Onset time application is used throughout the whole musical signal for better recognition of notes. Constant QTransform is applied to transform the musical signal from time to frequency domain. A recognition alg...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/65301 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This project aims to achieve musical notes recognition on polyphonic musical signals.
Onset time application is used throughout the whole musical signal for better recognition
of notes. Constant QTransform is applied to transform the musical signal from time to
frequency domain. A recognition algorithm, which uses filtering, thresholding and
template matching techniques, was developed. The results from the recognition process
include detection of musical notes, loudness, notes durations and beat values. This
algorithm was tested on five musical pieces which consist of melody and bass cords. The
results show 100% detection rate. However, there are limitations to this project. The
recognition process can be improved in future work. |
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