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The primary advantage of SEW is the elimination of the phase estimation problem. By outputting a raw waveform, the phase is inherently reconstructed correctly. This results in enhanced audio that is free from the "bubbly" or "musical" artifacts common in spectral masking. Empirically, SEW models have demonstrated superior performance in objective metrics such as PESQ (Perceptual Evaluation of Speech Quality) and STOI (Short-Time Objective Intelligibility), particularly in non-stationary noise environments (e.g., street noise, babble).

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