Efficient implementation of a system for solo and accompaniment separation in polyphonic music.

Our goal is to obtain improved perceptual quality for separated solo instruments and accompaniment in polyphonic music. The proposed approach uses a pitch detection algorithm in conjunction with a spectral filtering based source separation. The algorithm was designed to work with polyphonic signals regardless of the main instrument, type of accompaniment or musical style. Our approach features a fundamental frequency estimation stage, a refined harmonic structure for the spectral mask and a post-processing stage to reduce artifacts. The processing chain has been kept light. The use of perceptual measures for quality assessment revealed improved quality in the extracted signals with respect to our previous approach. The results obtained with our algorithm were compared with other state-of-the-art algorithms under SISEC 2011.