Combining F0 and non-negative constraint robust principal component analysis for singing voice separation

Separating singing voice from a musical mixture remains an important task in the field of music information retrieval. Recent studies on singing voice separation have shown that robust principal component analysis (RPCA) with rank-1 constraint approach can improve separation quality. However, the performance of separation is limited because the vocal part can not be described well by the separated matrix. Therefore, prior information such as...