Abstract
To isolate sound sources in an audio scene is called audio source separation. Singing voice extraction is one use for source separation. Using the 2D Fourier Transform (2DFT), we provide a unique method for music/voice separation in this study. Our method takes use of the way periodic patterns appear in the 2D Fourier Transform and is related to studies on biological auditory systems and picture processing. We discover that our technique is relatively easy to describe, put into practice, and is competitive with existing unsupervised source separation methods that make use of related presumptions.
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