An Intelligent System to Assist Piano Composition and Chords Generation using AI and Machine Learning
Author(s) -
Jiaxuan Zhang,
Yu Sun
Publication year - 2021
Publication title -
software engineering and applications
Language(s) - English
Resource type - Conference proceedings
eISSN - 2325-2286
pISSN - 2325-2278
DOI - 10.5121/csit.2021.111615
Subject(s) - chord (peer to peer) , piano , midi , guitar , amateur , computer science , speech recognition , forgetting , artificial intelligence , art , linguistics , acoustics , database , philosophy , physics , art history , operating system , political science , law
As a musician and producer, I’ve always struggled with finding chords when I first started writing music [5]. It sometimes goes to the extent of me forgetting my melody because I take so long trying to figure out the chords. So I came up with an idea for this app, that will help amateur and beginner musicians save time and provide chord suggestions to them as a booster to start writing songs [6]. It features a recording or a midi input feature, then the app will carefully analyze the given melody and give a selection of the best chord progressions using intelligent AI. As an output, it is able to present it as guitar chords, piano chords, and ukulele chords, enabling more different musicians to use this app.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom