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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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/10356/65301 |
| _version_ | 1826128313640288256 |
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| author | Ong, Jasmine Jie Min |
| author2 | Foo Say Wei |
| author_facet | Foo Say Wei Ong, Jasmine Jie Min |
| author_sort | Ong, Jasmine Jie Min |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T07:22:56Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/65301 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:22:56Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/653012023-07-07T15:47:55Z Musical note recognition Ong, Jasmine Jie Min Foo Say Wei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 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. Bachelor of Engineering 2015-07-13T08:57:17Z 2015-07-13T08:57:17Z 2007 2007 Final Year Project (FYP) http://hdl.handle.net/10356/65301 en Nanyang Technological University 97 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Ong, Jasmine Jie Min Musical note recognition |
| title | Musical note recognition |
| title_full | Musical note recognition |
| title_fullStr | Musical note recognition |
| title_full_unstemmed | Musical note recognition |
| title_short | Musical note recognition |
| title_sort | musical note recognition |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/65301 |
| work_keys_str_mv | AT ongjasminejiemin musicalnoterecognition |