Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Robust Principal Component Analysis (RPCA) is a technique to decompose signals into sparse and low rank components, and has recently drawn the attention of the MIR field for the problem of separating leading vocals from accompaniment, with appealing re-sults obtained on small excerpts of music. Hover, the perfor-mance of the method drops when processing entire music tracks.  present an adaptive formulation of RPCA that incorporates music content information to guide the decomposition. Experi-ments on a set of complete music tracks of various genres show that the proposed algorithm is able to better process entire pieces of music that may exhibit large variations in the music content, and compares favorably with the state-of-the-art.
['Hélène Papadopoulos', 'Daniel P. W. Ellis']
I am writing a research paper on a idea MUSIC-CONTENT-ADAPTIVE ROBUST PRINCIPAL COMPONENT ANALYSIS FOR A SEMANTICALLY CONSISTENT SEPARATION OF FOREGROUND AND BACKGROUND IN MUSIC AUDIO SIGNALS
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