Signal Processing Application for Musical Notes Recognition

Musical notes are the smallest elements used in composition of musical melody in the area of fine art. Technological advancement introduced digital application in musical composition by utilizing the area of signal processing. This paper presented musical notes recognition technique utilizing signal processing application. Samples of musical notes are composed in real time from chosen musical instruments. The collected musical notes are formed by two different types of guitars which are the acoustic and electric guitars. Signal processing algorithm is developed using MATLAB with the implementation of cepstral analysis method. The musical notes are analyzed by the algorithm to recognize the musical notes played by the instruments. The developed algorithm successfully exhibited the ability to recognize the presence of pitch related to musical notes from sound made by the chosen musical instruments. The outcomes also display that music notes matched perfectly in comparison from both chosen instruments.