Vocal Extraction From Music Using RPCA Decomposition
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چکیده
We explore the application of Principal Component Analysis for extracting melody and vocals from a piece of music. In order to solve this problem, we explore Robust Principal Component Analysis as a technique for making PCA robust to large sparse noise, and we investigate multiple techniques for solving the RPCA problem. We find that by using Augmented Lagrangians and the ADMIP methods, we are able to efficiently separate out vocals from a piece of music.
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تاریخ انتشار 2014