A Comparative Study of Various Pitch Detection Algorithms

Digital Signal Processing deals with performing varied mathematical operations on different types of signals and in this paper, we study pitch estimation algorithms applied on music signals. We give a detailed study of time domain and frequency domain pitch detection algorithms namely Modified Autocorrelation, Average Magnitude Difference function, Yin, Cepstrum. The algorithms have been tested with real and synthesized music signals and the performances were compared based on time complexity and error obtained.