Pitch Estimation of Singing Voice From Monaural Popular Music Recordings

A singing voice separation system is a hard yet popular task in the field of music information retrieval (MIR). If successfully separated, a number of algorithms can be applied to vocal melody for any possible application. In this study, we applied a pitch estimation algorithm after separating a singing voice from background music based on the implementation of REPET [1]. Then we evaluated our algorithms on MIR1K dataset using different combinations of parameters and compared the results with ones found on literatures. We found out that although comparable, our implementation of music/voice separation was not as good as the ones found in [1], and the pitch estimation algorithm returned about 67% accuracy.