Musical Notes Estimation Based on Greatest Common Devisor and Likelihood

In this paper, based on the relationship between fundamental frequency and harmonics, a musical note estimation algorithm using the greatest common divisor of peaks is proposed. By applying the algorithm to multi-notes estimation program that measures the likelihood of both peak and non-peak region, octave notes are better distinguished, and the total precision improved 1% in the evaluating result. A platform with a graphical user interface is also built in MATLAB to analyze and transcribe musical signals through recording and playing wave files.