Guitar Chords Recognition Using Real-Time Video Feed

Abstract

The music industry is made up of those who make money by writing songs and other musical compositions, producing and selling recorded and sheet music, and organising concerts and the groups that support, educate, advocate and feed music creators. It is a difficult task to recognize the actual guitar chords which the guitarist plays just only by looking at the fretting hand. Almost all the existing guitar chords recognition systems have been built using audio data and that can be unreliable and less effective because usually audio contains many background noises with several other sounds mixed. With the proposed real-time video solution all guitarists can use this as a tool for creating YouTube videos, for more effective guitar learning platforms, and for people to acknowledge what guitarists are playing on stage, and also to write the chords automatically when creating music.