Neural Egg Separation: Training ML systems to extract audio/video from noisy/cluttered environments

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Introduced Neural Egg Separation (NES), a semi-supervised ML method for isolating audio and visual sources from noisy/cluttered environments. NES iteratively mixes known and unknown signal distributions, allowing the model to improve at extracting the known signal. Experiments show NES outperforms similar supervision levels and is competitive with full supervision.