Study of pitch detection for musical instruments

• Main Author: Tay, Eileen Kia Khee
• Other Authors: Saman S. Abeysekera
• Format: Final Year Project
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/77932
• Institution: Nanyang Technological University

There are multiple researches on pitch detection and many of them are successful. However, detecting multiple pitches and identifying the names of the pitch combination proved to be a challenge. Current researches on chord detection are able to identify simple and commonly used chords. Nevertheless, there are still room for improvement to identify complex chords. Hence, this project looked into ways to produce an algorithm such that it can perform chord detection accurately on the various complexities of chords. It aims to provide an accurate estimation of the chords played by the piano. Guitar will also be used to determine the algorithm’s reliability in detecting chords played by other instruments. The algorithm is compared with other current chord detector software, Chordata and Musical Friend, in detecting various complexities of chords. Based on the results of this project, the algorithm has proven to be able to accurately identify most of the chords, including those with high complexities. However, there is still room for improvement such that all chords can be accurately identified.