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GuitarApprentice: A Mobile Application for Acoustic Guitar Learning using Fast Fourier Transform algorithm

Lau , Jason Kim Wee (2013) GuitarApprentice: A Mobile Application for Acoustic Guitar Learning using Fast Fourier Transform algorithm. Universiti Teknologi Petronas.

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Abstract

The objective of the project is to create a learning-based mobile application for learning to play an acoustic guitar. The application also aims to select the best algorithm to detect chords and display the chords detection in pictorial form for easier understanding. Beginner guitarists have difficulty to know how well they have learnt or improved in learning to play guitar chords. It is also difficult to detect chords and display the chords detected in pictorial form. The scope of the study is limited to beginner guitarists who are in the age range of teenagers and adults. The methodology uses the prototyping model for rapid building and testing that overlaps until the project ends. The results of the project are the suitable algorithm for chords detection and prototype of the mobile app. The statistics and survey prove that the project is significant for the beginner guitarists with mobile devices.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: UNSPECIFIED
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Users 2053 not found.
Date Deposited: 28 Feb 2014 11:48
Last Modified: 25 Jan 2017 09:38
URI: http://utpedia.utp.edu.my/id/eprint/13552

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