Intelligent error detection and advisory system for practitioners of music using audio signal processing and computing

Abstract

Music is said to be a type of meditation. The one who falls in love with music never turns back. That is the reason, we find plenty of people learning to play musical instruments or to sing. This paper proposes a system which aims at guiding the music enthusiasts in learning the Indian classical music. System uses the audio input from the microphone which will be the audio pieces played or sung by the user. And using the intensive audio signal processing and computing, system will notify the user about correctness of the input piece as an output. System will notify about the percentage error as well as the exact points where the user have done it wrong. Moreover, system shows the prediction of notes which user has missed so that he or she will be able to understand their own error patterns and hence will be able to know about the areas to be improved. So this closed loop advisory system aims at the eliminating the need of the physical instructor. System supports human voice as well as the instrumental pieces which means the singers and any instrument players will be benefited from this system. Though the system currently supports only the Indian Classical music, with some extension and up-gradations about the laws and regulations of other forms of music, the system will be able to support every type of music.