Chord detection for different musical instruments
Currently, chord detection algorithms focus on real-time detection of chords but they are limited to 7th chords and not extended chords. A MATLAB algorithm was designed to detect chords using extended harmony. It was then compared against two other chord detection algorithms: Yamaha Chord Tracker an...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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2018
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| Online Access: | http://hdl.handle.net/10356/74646 |
| _version_ | 1826122715946287104 |
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| author | Kwan, Ian |
| author2 | Saman S. Abeysekera |
| author_facet | Saman S. Abeysekera Kwan, Ian |
| author_sort | Kwan, Ian |
| collection | NTU |
| description | Currently, chord detection algorithms focus on real-time detection of chords but they are limited to 7th chords and not extended chords. A MATLAB algorithm was designed to detect chords using extended harmony. It was then compared against two other chord detection algorithms: Yamaha Chord Tracker and Transcribe!. The instruments used to for testing were a guitar and a piano. Three sets of chords with increasing difficulty was used during the testing process. It was concluded that Transcribe! could detect chords the most efficiently, followed by the MATLAB algorithm and then Yamaha Chord Tracker. Chords recorded using the guitar were also more easily detected than those recorded using the piano. |
| first_indexed | 2024-10-01T05:52:43Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/74646 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:52:43Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/746462023-07-07T16:32:13Z Chord detection for different musical instruments Kwan, Ian Saman S. Abeysekera School of Electrical and Electronic Engineering DRNTU::Engineering Currently, chord detection algorithms focus on real-time detection of chords but they are limited to 7th chords and not extended chords. A MATLAB algorithm was designed to detect chords using extended harmony. It was then compared against two other chord detection algorithms: Yamaha Chord Tracker and Transcribe!. The instruments used to for testing were a guitar and a piano. Three sets of chords with increasing difficulty was used during the testing process. It was concluded that Transcribe! could detect chords the most efficiently, followed by the MATLAB algorithm and then Yamaha Chord Tracker. Chords recorded using the guitar were also more easily detected than those recorded using the piano. Bachelor of Engineering 2018-05-22T08:37:25Z 2018-05-22T08:37:25Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74646 en Nanyang Technological University 50 p. application/pdf |
| spellingShingle | DRNTU::Engineering Kwan, Ian Chord detection for different musical instruments |
| title | Chord detection for different musical instruments |
| title_full | Chord detection for different musical instruments |
| title_fullStr | Chord detection for different musical instruments |
| title_full_unstemmed | Chord detection for different musical instruments |
| title_short | Chord detection for different musical instruments |
| title_sort | chord detection for different musical instruments |
| topic | DRNTU::Engineering |
| url | http://hdl.handle.net/10356/74646 |
| work_keys_str_mv | AT kwanian chorddetectionfordifferentmusicalinstruments |