Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/65301
Title: Musical note recognition
Authors: Ong, Jasmine Jie Min
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2007
Abstract: 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.
URI: http://hdl.handle.net/10356/65301
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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